Find Your Dream Analytics Job in India

We are looking for an Engagement Manager to lead descriptive analytics engagements for a large telecom client. This role requires strong ownership of delivery, business understanding of the retail/telecom domain and the ability to translate data into actionable business insights. You will manage the offshore delivery team, client relationship and analytics output quality while driving measurable business impact.

Job Responsibilities

• Own the end to end delivery of descriptive analytics engagements for telecom clients
• Act as the primary point of contact for client stakeholders; manage expectations, communication and delivery timelines
• Lead and mentor a 6-8 member offshore analytics team; ensure high performance, skill growth and strong ownership
• Translate business questions into structured analytical problem statements and data requirements
• Review analytical outputs for accuracy, story telling and business relevance before client delivery
• Proactively identify new analytical opportunities within the account and support account expansion
• Design standard analytics frameworks, reporting methodologies, and reusable accelerators
• Ensure adherence to delivery SLAs, data governance and quality benchmarks
• Navigate ambiguity in problem statements and create structured, scalable analytics solutions

Qualifications:

• 6+ years of experience in analytics, consulting, or client facing delivery roles
• Minimum 3+ years of experience managing offshore analytics teams (4+ members)
• Advanced proficiency in Excel and PowerPoint for executive-level storytelling
• Proven experience in descriptive analytics and business performance reporting
• Strong stakeholder management and client communication experience
• Exposure to telecom domain is an added advantage, not mandatory (CX, NPS, churn, network, marketing, revenue, operations, etc.)
• Hands-on experience with SQL (Good to have - Python & PySpark)

Designation: Capability Lead - Data Science & Analytics

This is not a delivery management role. This is a capability, technical leadership, and revenue-owning role.

About Us

TheMathCompany or MathCo is a globalEnterprise AI and Analytics companytrusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds customAI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybridmodel. NucliOS, MathCo's proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culturewith no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to 'Leave a Mark'.

Job Overview

The Data Science & Analytics Capability Lead is a senior leadership role responsible for raising the technical depth and solution maturity across MathCo's analytics engagements.

This role exists to:

• Provide expert guidance on complex analytical problems across accounts
• Strengthening solution architecture for industry-level problems
• Engage with senior customer stakeholders as a technical thought partner
• Lead and mentor a pool of high-caliber SMEs who are embedded across client engagements
• Own and drive revenue generated from this capability through billed SME deployments
• Build reusable analytical frameworks, accelerators, and best practices
• Support learning and development of analytics talent across the organization
• Act as the technical conscience of the organization, ensuring rigor, innovation, and quality

Job Responsibilities

Technical Leadership Across Accounts

• Provide advisory support to accounts facing complex modeling and analytics challenges (e.g., MMM, MTA, Forecasting, Pricing, Retail Media Measurement, Causal Inference, Bayesian modeling, Neural Networks etc.)
• Review and strengthen analytical approaches, model structures, and solution logic
• Be the go-to expert for problem statements that require depth beyond standard playbooks

Senior Customer Stakeholder Engagement

• Engage directly with senior client stakeholders (Director/VP/Head of Analytics, Marketing Science, Revenue Growth, etc.) as a technical leader
• Represent MathCo's analytical depth in critical client conversations, workshops, and solution discussions
• Build credibility and trust through strong analytical articulation and problem solving
• Support accounts in translating complex analytics into business-relevant narratives for leadership audiences

Own and Grow the SME Capability Revenue

• Build and manage a pool of high-caliber SMEs deployed across accounts
• Drive billed utilization of SMEs embedded in client engagements
• Own the revenue generated from this capability
• Ensure SMEs are deployed where they create maximum client and commercial impact
• Track and manage capability pipeline, utilization, and revenue performance

Solution Design, Pilot Success & Pipeline Conversion

• Partner with Growth, Presales, and Account teams to design solutions for complex RFPs and problem statements
• Lead analytical solutioning for pilot and high-stakes projects
• Convert successful pilots and technical interventions into scaled engagements
• Actively contribute to conversion of sales pipeline through technical credibility

Build Analytical Assets & Frameworks

• Develop reusable solution frameworks for key industry problems
• Create modeling templates, code accelerators, and best practice playbooks
• Standardize high-quality analytical approaches across teams

Quality & Rigor Champion

• Act as the review authority for high-impact analytical solutions
• Improve analytical storytelling, documentation, and model defensibility
• Raise the bar for what "good" looks like at MathCo

Learning & Development Leadership

• Partner with L&D to design capability development programs
• Conduct internal workshops, masterclasses, and technical forums
• Create learning pathways, reference materials, and case studies from real engagements
• Mentor senior data scientists and emerging technical leaders across the organization

Thought Leadership & Innovation

• Stay ahead of emerging analytical techniques
• Drive adoption of modern modeling approaches across teams
• Represent MathCo's analytical thought leadership internally and externally

Key Outcomes & Success Metrics

• Revenue
• Capability Revenue
• Pilot Conversion of new engagements
• Pipeline Conversion
• Fulfilment quality on critical engagements
• Talent development - training, assessment, deployment
• Marketing content - POVs, Whitepapers etc.
• Billability and Impact of SMEs

Required Experience & Skills

Experience

• Over 12+ years of experience in advanced analytics and data science
• Deep experience in solving complex business problems using modeling and analytics
• Experience working across multiple industries - CPG, Retail etc.
• Experience across multiple verticals - Marketing, Supply Chain, Sales, Finance etc.
• Experience mentoring senior data scientists and technical teams
• Experience of global delivery setup across US, Europe and/or Asia Pacific

Technical Expertise (strong depth across all or several of these)

• Marketing Mix Modeling, Attribution, Causal Inference
• Pricing & Elasticity modeling
• Forecasting & time-series modeling
• Bayesian methods, hierarchical models, state-space models
• Machine Learning & statistical modeling
• Python and modern data science stack
• Neural Networks, Deep Learning, Transformers etc.
• Familiarity with GenAI applications in analytics (preferred)

Leadership & Influence

• Strong mentoring and coaching capability
• Ability to influence different teams and accounts across the org
• Strong solution design and analytical storytelling skills
• Ability to simplify complex business problems and solutions to technical and non-technical stakeholders
• Provide transparency and value reports to executive leadership

Who is this role ideal for-

The role is ideal for a senior analytics leader who:

• Loves solving hard analytical problems
• Enjoys mentoring and building tech talent
• Wants to shape analytics capability at an organizational level
• Thrives in ambiguity and complex problem spaces
• Is motivated by both technical excellence and commercial impact

Being a Mathemagician

• Understand & embody MathCo's culture and way of working.
• Demonstrate an ownership mindset to drive results, striving for excellence.
• Engage actively and contribute to initiatives fostering company growth
• Is comfortable engaging with senior clients as a technical peer
• Support diversity and understand different perspectives.

As a testament to our growth, we have been,

• Positioned as a Leader in Top Generative AI Service Providers - PeMa Quadrant 2023 by AIMResearch Recognized among the Inspiring Workplaces in North America, 2023
• Accredited for Inclusive Practices by Great Place to Work Institute, India
• Recognized among India's Best Workplaces for Diversity, Equity,Inclusion & Belonging2023 by Great Place To Work India

among others. To know more visit our website.

Role: Senior Consultant SAP Analytics Cloud and Datasphere

Experience: 6 to 8 Years

Location: India (Delhi/ Hyderabad/ Mumbai/ Noida/ Pune)

Shift: UK Shift

Skills Required

• 6+ years of overall experience with strong expertise in SAP Analytics Cloud and SAP Datasphere (3+ years)
• Strong proficiency in Datasphere data modelling, including:
• Multi-layered architecture (Foundation, Business, Consumption layers)
• Local tables, graphical views, SQL views, and analytic models
• Measures, hierarchies, and currency/unit conversions
• Experience in data integration and ingestion using S/4 Hana, CDS Views, SLT Replications, Flat files and external databases
• Expertise in delta handling and CDC strategies
• Strong knowledge of performance optimization and query tuning
• Experience in Datasphere security and governance:
• Analytic privileges, space-based access, row/column-level security
• Transport management and lifecycle governance
• Strong hands-on experience in SAC modelling and connectivity
• Live and import connections
• Query pushdown vs in-memory processing
• Advanced expertise in SAC story and dashboard development
• Proficiency in SAC scripting (JavaScript) and advanced analytics
• Experience in SAC performance tuning for large datasets
• Knowledge of SAC security, administration, and transports
• Strong understanding of Datasphere + SAC architecture and best practices
• Experience in solution design reviews and governance processes

Nice to Have

• Experience with SAC Planning and Predictive scenarios
• Knowledge of CPI/BTP integrations
• Experience in large enterprise and onshore-offshore delivery models

Responsibilities

• Provide Level 2 / Level 3 BAU support for SAP Datasphere and SAP Analytics Cloud
• Manage incidents, problems, and service requests as per ITIL processes
• Monitor BI systems, data pipelines, and reporting availability
• Troubleshoot data quality, integration, and performance issues
• Support financial and management reporting cycles
• Ensure data consistency across SAP and analytics platforms
• Implement report fixes, enhancements, and minor change requests
• Design, develop, and optimize Datasphere data models and semantic layers
• Manage data ingestion, replication, and transformation processes
• Optimize analytic models for SAC consumption
• Implement security, authorization, and governance standards
• Manage object lifecycle across development, test, and production environments
• Define and implement Datasphere-SAC architecture patterns
• Support hybrid integration scenarios (S/4HANA, BW, Datasphere, SAC)
• Maintain technical documentation and knowledge assets
• Act as a primary BI technical contact for stakeholders
• Participate in design reviews, incident analysis, and service governance meetings
• Provide proactive communication on risks, issues, and resolution plans

Location

The successful candidate shall be placed at Pune Location. It is a Full-time Job, "No" remote work. Data Engineer willing to work on a 12-month contract/full-time may apply.

Experience

Candidates should have experience between 3-6 years

Role Description

About the Role

We are looking for a skilled Data Analyst (DA AC) with strong experience in claims data and commercial datasets. The role involves hands-on analytics, building data-driven insights, and leading the development of analytical frameworks while working closely with a team of data scientists and analysts.

Key Responsibilities

• Lead the development and enhancement of analytical frameworks to solve business problems
• Perform hands-on analysis of claims data and commercial datasets
• Write and optimize SQL queries to answer complex business questions
• Use Python for data analysis, data manipulation, and modeling
• Apply basic machine learning algorithms for predictive and descriptive analytics
• Collaborate closely with data scientists, analysts, and business stakeholders
• Translate business requirements into analytical solutions and insights
• Ensure data accuracy, consistency, and quality across analyses

Required Skills & Qualifications

• 3-6 years of experience in data analytics or data science roles
• Strong experience working with claims data
• Proficiency in Python (Pandas, NumPy, etc.)
• Strong SQL skills for querying and data extraction
• Experience with commercial datasets
• Understanding of basic machine learning algorithms (regression, classification, clustering, etc.)
• Strong analytical and problem-solving skills
• Ability to work hands-on while guiding and collaborating with a team

Nice to Have

• Experience in insurance, healthcare, or financial services domains
• Exposure to data visualization tools (Tableau, Power BI, etc.)
• Experience working in agile or fast-paced environments

The Associate Director - Digital Analytics (Project Manager) will own delivery, operations, and commercial outcomes for a portfolio of analytics engagements across GA4, BigQuery, Clevertap, and predictive modeling.

This role requires strong leadership of delivery teams, senior stakeholder management, and accountability for revenue, quality, and operational excellence.

Key Responsibilities:

Own end-to-end delivery and operational management of multiple analytics accounts

Lead and scale teams executing GA4, BigQuery, Clevertap, and advanced analytics projects

Act as a senior stakeholder interface, managing expectations and escalations

Ensure timely delivery, quality control, and adherence to project governance and compliance

Drive account growth through cross-sell and up-sell opportunities in collaboration with sales

Own billing accuracy, revenue realization, and commercial hygiene

Identify and implement process improvements to enhance delivery efficiency and margins

Provide strategic inputs on solution design, resourcing, and delivery frameworks

Location: Ghansoli (Navi Mumbai)

Experience: 4 - 8 yrs

The Associate Director - Digital Analytics (Project Manager) will own delivery, operations, and commercial outcomes for a portfolio of analytics engagements across GA4, BigQuery, Clevertap, and predictive modeling.

This role requires strong leadership of delivery teams, senior stakeholder management, and accountability for revenue, quality, and operational excellence.

Key Responsibilities:

Own end-to-end delivery and operational management of multiple analytics accounts

Lead and scale teams executing GA4, BigQuery, Clevertap, and advanced analytics projects

Act as a senior stakeholder interface, managing expectations and escalations

Ensure timely delivery, quality control, and adherence to project governance and compliance

Drive account growth through cross-sell and up-sell opportunities in collaboration with sales

Own billing accuracy, revenue realization, and commercial hygiene

Identify and implement process improvements to enhance delivery efficiency and margins

Provide strategic inputs on solution design, resourcing, and delivery frameworks

Location: Ghansoli (Navi Mumbai)

Experience: 4 - 8 yrs

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country's talented workforce and advance their capabilities to serve their clients better.

Role Title: Lead Business Analyst - Analytics

Position Summary:

The Lead Business Analyst - Analytics partners with business and technology teams to analyze requirements and support the design and delivery of enterprise analytics solutions. The role leads requirements gathering, documentation, testing, and implementation activities, while influencing solution direction and ensuring alignment with business needs. This position may also manage complex projects or coordinate the work of other analysts as needed.

Job Responsibilities:

• Participates in system requirements definition, testing, training, implementation, and support of enterprise-wide business applications.
• Solicits business requirements through interviews, workshops, and/or existing system documentation or procedures. Uses industry standard analysis techniques to uncover business requirements, such as data flow modeling, use-case analysis, and workflow analysis.
• Documents the results of analysis activities using the appropriate templates and tools and be a key contributor in the definition of what the appropriate templates and tools are.
• Makes recommendations and influence outcome regarding necessary changes on deliverables expected from other groups.
• Initiates and leads work with other development groups to ensure an integrated business solution.
• Assumes the responsibility of project manager for projects where the scope is at a significant level of complexity. These projects could be new initiatives or modifications to an existing application. Coordinates the efforts of other Business Analysts within assigned projects.

Skill and Experience:

• 6 years of experience required to perform essential job functions
• TECHNICAL KNOWLEDGE Expert knowledge of techniques and tools utilized in functional design, data
• analysis, and data flow diagramming
• Strong understanding of relational databases and ability to write and optimize SQL queries for data
• analysis and validation.
• Knowledge of the business current and planned technological environment and modern data integration
• practices
• TECHNICAL SKILLS Experience gathering requirements, functional design, and working with business
• processes
• Proven ability to work in technical environments that use tools involved in data flow diagramming, data
• analysis, issue tracking, and documentation and presentation
• Proven experience with managing projects of significant scope and complexity with project teams
• consisting of 5 individuals
• SOFT SKILLS Proven ability to multitask and establish priorities
• Excellent interpersonal, oral written communication and organizational skills
• Proven ability to provide direction to others and influence decisions made
• Demonstrates a clear understanding of the business and business processes.

Must Have Skills:

• Required: SQL, Power BI, MS Excel; Preferred: Figma

Education and Certifications:

• 4 Year / Bachelor's Degree

Work location: Bengaluru

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey . Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American's Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American's customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

MANAGER, DATA ANALYTICS & INNOVATION

INTRO:

Are you ready to explore a world of possibilities? Join our American Airlines family, and you'll grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard!

WHY YOU'LL LOVE THIS JOB:

The Manager, Data Analytics & Innovation is part of the Revenue Management Organization. This role is responsible for expanding the capabilities of the Revenue Management Continuous Improvement team to enhance decision-making and embed innovation into revenue operations. It accelerates process improvements through structured methodologies and delivers analytical insights that support faster, data-informed decisions across entity teams. The role also drives the adoption of emerging technologies, including AI and automation, to transform how insights are generated and applied in pricing and revenue strategies.

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Lead and develop a high-performing team of analysts, fostering a culture of integrity, accountability, inclusion, and continuous improvement
• Partner with Pricing and Yield Management teams to understand requirements, clarify scope and desired outcomes, and translate business needs into technical specifications, development plans, and delivery timelines throughout design, prototyping, and rollout
• Drive the development and deployment of GenAI, Agentic AI, and ML-powered agents that transform Revenue Management workflows
• Provide hands on technical direction to analysts and guide the team in applying advanced AI and ML methods to eliminate manual work and accelerate decision cycles
• Manage a portfolio of analytics and decision acceleration initiatives, define priorities based on business value, and coordinate development, testing, and deployment of scalable data driven and AI driven solutions
• Create standardized metrics, dashboards, and performance reporting to support regular business reviews and executive storytelling
• Provide technical leadership across Revenue Management by promoting the adoption of cutting edge analytical and AI technologies
• Own the lifecycle of analytical and AI-driven models and agents, including experimentation, validation, operationalization, and continuous improvement
• Champion an innovation first mindset and a culture of experimentation where ideas move quickly from concept to impact, ensuring innovation isn't just a buzzword but a measurable advantage for the business
• Ensure governance and compliance by enforcing data privacy, security, and quality standards, and maintaining clear documentation and controls
• Communicate technical concepts, model behavior, and design tradeoffs to non technical stakeholders to drive clarity, adoption, and business alignment
• Ability to work across time zones while operating independently, managing multiple priorities, and delivering against tight timelines

ALL YOU'LL NEED FOR SUCCESS

Minimum Qualifications - Education & Prior Job Experience:

• Bachelor's degree in a quantitative, technical, or business related field, such as Computer Science, Engineering, Statistics, Operations Research, Economics, Business Analytics, or a related discipline
• 8+ years of experience in analytics, data science, or a data driven role within complex and data intensive environments
• Experience leading teams within a global and cross functional environment
• Experience managing the full lifecycle of GenAI, Agentic AI, and ML solutions, including design, data integration, agent development, validation, deployment, and ongoing optimization to transform operational or analytical workflows that depend on robust and reliable data
• Experience working with large relational datasets and writing advanced SQL queries that involve complex joins, filtering logic, and performance optimized data retrieval
• Experience using Python to automate analytical and data workflows, including working within platforms such as Databricks or similar distributed computing environments

Preferred Qualifications - Education & Prior Job Experience:

• Master's degree in Business, Business Analytics, or a related quantitative field
• Previous experience within airlines, travel, e-commerce, consulting, finance, technology, or a related analytical field
• Experience establishing or scaling an analytics or automation center of excellence, including intake, governance, and portfolio management

Skills, Licenses, and Certifications:

• Experience developing and deploying AI, ML, GenAI, and Agentic AI solutions that integrate with structured and unstructured data in production environments
• Familiarity with MCP based server interfaces or similar agent to system communication patterns
• Familiarity with agent development platforms such as Microsoft Copilot Studio, LangChain, CrewAI, or similar frameworks used to build data connected AI agents
• Proficiency in Python for automation, including notebook based development and workflow orchestration in Databricks, Spark, Snowflake, or similar platforms
• Experience with cloud AI services such as Azure AI Foundry, Azure ML, Amazon Bedrock, or Google Vertex AI
• Ability to automate data pipelines and analytics workflows using tools such as Databricks Workflows, Airflow, Azure Data Factory, or similar orchestration systems
• Ability to build complex dashboards and analytical applications in Power BI, Tableau, or comparable BI platforms
• Strong SQL skills, including the ability to write advanced join logic and performance optimized queries across large relational datasets
• Leadership and strategic execution across global teams, with a focus on high-impact initiatives and continuous improvement
• Strong stakeholder management and communication skills across technical and non technical teams
• Ability to guide teams through Agile, iterative development cycles and manage multiple high impact workstreams

FEEL FREE TO BE YOURSELF AT AMERICAN:

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

COMPETENCIES:

• Caring
• Collaboration
• Development
• Future
• Results

Job Title: Senior Consultant - Data Analytics & AI

About the firm:

Citrin Cooperman is one of the largest accounting and consulting firms in the United States, and 4th among mid-Atlantic firms, with over 2,500 employees in 22 U.S. and International offices. This year, we were rated one of the Top 50 Best Companies to work for according to We are always looking for new team members who bring a fresh perspective, technical expertise, and a passion for solving problems.

At Citrin Cooperman, we offer you the flexibility to take your career to the next level and still allow you to focus on what matters to you!

Citrin Cooperman India LLP ("CCI") provides shared services for Citrin Cooperman. Providing quality service to clients with the most efficient use of resources is always a challenge in today's professional world. CCI's mission is to provide outstanding professional support to all Citrin Cooperman offices throughout the year in the areas of accounting, attest and auditing, tax compliance and consulting, business advisory, valuation, litigation support, and other professional work.

Job Description:

Senior Consultant - Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data. This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fabric. Lead data initiatives, optimize data pipelines, and develop AI-driven solutions that enhance business decision-making and operational efficiency.

Key Responsibilities:

Data Analytics & AI Solutions Development:

• Design and implement data analytics to support client business needs.

• Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric.

• Optimize data integration workflows using Microsoft OneLake, Synapse Data Engineering, and Data Factory.

• Implement AI-driven automation, predictive modeling, and machine learning solutions.

• Ensure data accuracy, consistency, and reliability across cloud and on-premises environments.

Microsoft Fabric & Cloud Expertise:

• Leverage Microsoft Fabric's suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.

• Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.

• Ability to guide clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights.

• Stay updated on Microsoft Fabric innovations, AI Copilot, and emerging data capabilities.

Client Engagement & Advisory:

• Act as a trusted advisor to clients, understanding their business needs and recommending tailored data solutions.

• Provide best practices on data governance, compliance, security, and responsible AI adoption.

• Translate technical concepts into clear, actionable business insights for non-technical audiences.

Project Delivery & Execution:

• Develop end-to-end analytics, ensuring timely and high-quality deliverables.

• Collaborate with cross-functional teams.

• Monitor project risks, troubleshoot technical challenges, and proactively mitigate roadblocks.

• Ensure documentation, training, and knowledge transfer for sustainable analytics adoption.

Qualifications & Experience:

• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field.

• 3+ years of experience in data analytics, AI, or cloud-based data engineering, with at least 2 years in a consulting role.

• Hands-on experience with Microsoft Fabric, including Synapse Analytics, Data Factory, OneLake, and Power BI is ideal.

• Strong proficiency in SQL, Python, or R for data manipulation and AI development.

• Experience with Azure services (Data Lake, Azure ML, Cognitive Services, Databricks, or Power Automate).

• Proven ability to design analytics solutions, optimize data pipelines, and drive business impact.

• Excellent problem-solving, communication, and stakeholder management skills.

Additional Qualifications:

• Microsoft Fabric or Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer).

• Experience with AI-powered analytics, NLP, and large-scale machine learning model deployment.

• Knowledge of data governance, security best practices, and compliance regulations.

Job Title: Manager - Analytics

Job Type: Permanent, Full-time

Function: Information Technology

Business: Godrej Consumer Products Limited

Location: Mumbai, Maharashtra, India

About Godrej Industries Limited and Associate Companies (GILAC)

GILAC is a holding company of the Godrej Group. We have significant interests in consumer goods, real estate, agriculture, chemicals, and financial services through our subsidiary and associate companies, across 18 countries.

About Godrej Consumer Products Limited (GCPL)

Godrej Consumer Products is a leading emerging markets company. As part of the over 125-year young Godrej Group, we are fortunate to have a proud legacy built on the strong values of trust, integrity and respect for others. At the same time, we are growing fast and have exciting, ambitious aspirations.

About the role

As Data and Analytics manager, you will be responsible for managing the design, development, and implementation of Azure data engineering/visualization and data science solutions in GCPL with a specific focus on Media and Marketing. This role requires a blend of hands-on technical expertise, and strong business understanding. The responsibility also includes evaluation and implementation of emerging technologies in Azure data tech stack, data science, AI/ML and drive standardization and implementation of best practices.

Your Roles & Responsibilities

• End-to-End Project Development: Lead the conceptualization, development, and execution of data science projects across various functions and geographies within GCPL, ensuring alignment with business objectives and strategies.
• Cross-functional Collaboration: Foster effective collaboration with internal stakeholders such as marketing, sales, supply chain, and finance to identify data-driven opportunities, address business challenges, and deliver actionable insights.
• Vendor Management: Engage with external vendors and partners to leverage specialized expertise, tools, and resources for advanced analytics projects, ensuring quality deliverables within established timelines and budgets.
• Performance Monitoring: Establish metrics and KPIs to assess the performance and impact of data science initiatives, tracking progress against goals and recommending adjustments as necessary to optimize outcomes.
• Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in data science, actively seeking opportunities to enhance the company's analytical capabilities and drive innovation.
• Team Management: Mentor junior data scientists, providing guidance on project execution, technical skills development, and career growth.

Position Requirements

Qualification & Experience:

• Educational Background: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines.
• Professional Experience: Minimum of 5-8 years of experience in data science, preferably within the FMCG industry or related sectors.

Skills Required:

Must have:

• Technical Proficiency: Proficient in programming languages such as Python, R, or SQL, with hands-on experience in statistical analysis, machine learning, data visualization, and predictive modeling techniques.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets, extract actionable insights, and translate findings into business recommendations.
• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization.
• Project Lead : Experience in leading analytics projects and initiatives, Ability to oversee analytics roadmaps and cross functional project execution
• Business Acumen: Sound understanding of FMCG business dynamics, consumer behavior, market trends, and competitive landscape, coupled with a strategic mindset and commercial awareness.
• Adaptability: Proven ability to thrive in a fast-paced and dynamic environment, managing multiple priorities and stakeholders while maintaining a focus on delivering high-quality results.

Good to Have:

• Deep Learning Frameworks: Exposure to deep learning frameworks such as TensorFlow, PyTorch, or Keras, with application in areas like time-series forecasting.
• MLops Understanding: Familiarity with MLops (Machine Learning Operations) principles and practices, including model deployment, monitoring, versioning, and automation, to ensure scalability, reliability, and performance of machine learning models in production environments.
• Cloud for Machine Learning: Experience working with cloud platforms (AWS, GCP, or Azure), especially with ML services like SageMaker, Databricks or Azure ML Studio for scalable and production-grade solutions.
• AI Productization: Experience in translating data science models into business products or dashboards embedded within operational processes.

What's in it for you?

Be an equal parent

Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return

Paternity support, including paid leave

New mothers can bring a caregiver and children under a year old, on work travel

Adoption support; gender neutral and based on the primary caregiver, with paid leave options

No place for discrimination at Godrej

Gender-neutral anti-harassment policy

Same sex partner benefits at par with married spouses

Gender transition support

We are selfish about your wellness

Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options

Uncapped sick leave

Mental wellness and self-care programmes, resources and counselling

Celebrating wins, the Godrej Way

Structured recognition platforms for individual, team and business-level achievements

Performance-based earning opportunities

An inclusive Godrej

Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It's not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you.

We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members.

If this sounds like a role for you, apply now!

We look forward to meeting you.

Required Skills & Qualifications:

• 5+ years of relevant experience in data science and analytics, preferably in Financial Services
• Experience in leading and managing data analytics teams.
• Hands-on expertise in data engineering (SQL, Python) and BI development (Tableau, PowerBI etc.) with a focus on data analysis and modelling.
• Experience with deploying data analytics and ETL/BI solutions within cloud ecosystems like Amazon Web Services, Google Cloud Platform, Microsoft Azure
• Experience with financial datasets and strong mathematical background.
• Exposure to financial metrics datasets and asset classes.
• Strong communication skills, both written and oral, with a business and financial aptitude.

Key Responsibilities:

• Lead a range of BI and data analytics projects and POCs for financial services clients.
• Lead the design and development of advanced analytics solutions using Microsoft Fabric and Power BI.
• Architecting and managing Azure Data Factory pipelines to streamline data processing and integration for analytics and reporting into BI tools like Power BI and Tableau.
• Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric, while utilizing optimal storage formats and layers.
• Design and implement scalable and efficient data pipelines for both structured and unstructured data from diverse sources using Microsoft Fabric technologies (Dataflow gen2, Data Pipelines, PySpark notebooks, Spark SQL, and Python)
• Optimize BI solutions for performance and scalability.
• Create and maintain comprehensive documentation covering Data Fabric architecture, processes, and procedures.
• Serve as the primary contact for client communications, ensuring clear and effective information exchange.
• Incorporate feedback from clients and continuously improve models, dashboards, and processes.
• Maintain project documentation, including technical specifications, user guides, and project progress reports

Key Responsibilities

Preferred Qualification:

• Master's in science or engineering disciplines such as Computer Science, Engineering, Mathematics, Physics, etc.
• Preferred - Professional certifications on tools/technologies listed above
• Microsoft Certified: Power BI Data Analyst Associate
• Databricks Certified Data Engineer
• Snowflake SnowPro Core Certification
• Tableau Desktop Specialist
• Optional: Financial Modeling & Valuation Analyst (FMVA) for finance domain depth

Salesforce CRM Analytics_Full-Time_Pune

Job Title: Salesforce CRM Analytics

Location: Pune

Job Type: Full-Time

Experience: 5-7 years

5days work from office.

Job Description:

• Work with stakeholders to gather and analyse business requirements for analytics and reporting needs

• Design and develop Salesforce CRM Analytics datasets, lenses, dashboards, and stories to provide actionable insights and drive data-driven decision-making.

• Configure and customize Salesforce CRM Analytics applications to meet specific business requirements, leveraging features such as SAQL (Salesforce Analytics Query Language), dataflows, and recipes.

• Integrate Salesforce CRM Analytics with external data sources, including Salesforce CRM data, ERP systems, and other third-party applications.

• Optimize performance and scalability of Salesforce CRM Analytics solutions, ensuring efficient data processing, storage, and visualization.

• Conduct training and provide technical support to ensure successful adoption and utilization of Salesforce CRM Analytics solutions.

• Domain Manufacturing & Automotive.

Job Description: AI & Self-Service Analytics

Total Exp - 6 years - 12 Years

Overview

Analytics Function Overview

The Analytics function focuses on enabling next-generation Business Intelligence through AI-driven insights, self-service analytics, and conversational reporting capabilities for leading global pharmaceutical organizations. The function partners closely with Commercial, Medical, Market Access, and Executive stakeholders to scale insight delivery while reducing manual reporting effort.

The AI & Self-Service Analytics team plays a critical role in operationalizing AI-assisted analytics, natural language interaction with data, and persona-aligned self-service datasets within enterprise BI platforms such as Tableau, Power BI, and cloud data platforms.

Roles and Responsibilities Summary

• Design and deliver AI-enabled reporting and self-service analytics solutions aligned to pharma commercial and medical use cases

• Support implementation of conversational BI capabilities using tools such as Power BI Copilot, Tableau Pulse, and in-house LLM frameworks

• Translate business questions into AI-assisted insight workflows (e.g., variance explanation, trend detection, anomaly identification)

• Build and curate persona-specific self-service datasets for Analysts, Data Scientists, and Advanced Business Users

• Collaborate with BI Architects and Semantic Layer teams to ensure AI readiness of data products (grain, metadata, KPI logic)

• Configure and validate natural language query patterns mapped to governed KPIs and dimensions

• Develop automated KPI narratives and explanations to support faster decision-making

• Partner with business stakeholders to identify high-value AI use cases for reporting and analytics (e.g., field performance insights, payer mix shifts, launch signals)

• Support UX design for AI interactions, including prompt design, guided queries, and explainability views

• Ensure AI outputs are transparent, explainable, auditable, and compliant with governance guidelines

• Contribute to training materials and enablement content for AI-driven and self-service analytics adoption

• Take ownership of assigned deliverables and support program milestones under guidance of Group Managers / Leads

Core Competencies

Technical Skills

• Power BI (Copilot, AI visuals, semantic models)

• Tableau (Tableau Pulse, metric insights, guided analytics)

• SQL for analytics-ready data validation

• Understanding of semantic layers, KPI definitions, and governed datasets

• Exposure to cloud data platforms (Snowflake, Databricks preferred)

• Familiarity with LLM concepts, embeddings, prompt design, and AI explainability

Domain & Functional Knowledge

• Working knowledge of pharma commercial analytics (sales performance, field effectiveness, market access, omnichannel)

• Understanding of common pharma datasets (CRM activity, sales, claims, payer, digital engagement)

• Ability to frame business questions into AI-assisted analytics patterns

Behavioral & Professional Skills

• Strong stakeholder communication (verbal and written)

• Structured problem-solving and analytical thinking

• Ability to work with cross-functional global teams (business, IT, data governance)

• Attention to detail with a quality-focused mindset

• Adaptability to evolving AI and analytics platforms

• Collaborative and team-oriented approach

Must-Have Skills

• Power BI (including Copilot exposure) or Tableau (including Tableau Pulse)

• SQL and analytical data validation skills

• Strong communication and documentation skills

• Experience supporting self-service analytics or advanced BI users

• Understanding of KPI-driven reporting and semantic models

• Problem-solving and structured thinking

Good-to-Have Skills

• Exposure to conversational analytics or NLP-based querying

• Experience working with AI explainability or insight generation features

• Knowledge of pharma therapy areas or launch analytics

• Familiarity with Databricks, Python, or AI notebooks

• Experience supporting global / multi-region BI programs

Highest Education

• Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, Statistics, or related quantitative field

• Strong academic background with exposure to analytics, data, or AI coursework

Job Description: AI & Self-Service Analytics

Total Exp - 6 years - 12 Years

Overview

Analytics Function Overview

The Analytics function focuses on enabling next-generation Business Intelligence through AI-driven insights, self-service analytics, and conversational reporting capabilities for leading global pharmaceutical organizations. The function partners closely with Commercial, Medical, Market Access, and Executive stakeholders to scale insight delivery while reducing manual reporting effort.

The AI & Self-Service Analytics team plays a critical role in operationalizing AI-assisted analytics, natural language interaction with data, and persona-aligned self-service datasets within enterprise BI platforms such as Tableau, Power BI, and cloud data platforms.

Roles and Responsibilities Summary

• Design and deliver AI-enabled reporting and self-service analytics solutions aligned to pharma commercial and medical use cases

• Support implementation of conversational BI capabilities using tools such as Power BI Copilot, Tableau Pulse, and in-house LLM frameworks

• Translate business questions into AI-assisted insight workflows (e.g., variance explanation, trend detection, anomaly identification)

• Build and curate persona-specific self-service datasets for Analysts, Data Scientists, and Advanced Business Users

• Collaborate with BI Architects and Semantic Layer teams to ensure AI readiness of data products (grain, metadata, KPI logic)

• Configure and validate natural language query patterns mapped to governed KPIs and dimensions

• Develop automated KPI narratives and explanations to support faster decision-making

• Partner with business stakeholders to identify high-value AI use cases for reporting and analytics (e.g., field performance insights, payer mix shifts, launch signals)

• Support UX design for AI interactions, including prompt design, guided queries, and explainability views

• Ensure AI outputs are transparent, explainable, auditable, and compliant with governance guidelines

• Contribute to training materials and enablement content for AI-driven and self-service analytics adoption

• Take ownership of assigned deliverables and support program milestones under guidance of Group Managers / Leads

Core Competencies

Technical Skills

• Power BI (Copilot, AI visuals, semantic models)

• Tableau (Tableau Pulse, metric insights, guided analytics)

• SQL for analytics-ready data validation

• Understanding of semantic layers, KPI definitions, and governed datasets

• Exposure to cloud data platforms (Snowflake, Databricks preferred)

• Familiarity with LLM concepts, embeddings, prompt design, and AI explainability

Domain & Functional Knowledge

• Working knowledge of pharma commercial analytics (sales performance, field effectiveness, market access, omnichannel)

• Understanding of common pharma datasets (CRM activity, sales, claims, payer, digital engagement)

• Ability to frame business questions into AI-assisted analytics patterns

Behavioral & Professional Skills

• Strong stakeholder communication (verbal and written)

• Structured problem-solving and analytical thinking

• Ability to work with cross-functional global teams (business, IT, data governance)

• Attention to detail with a quality-focused mindset

• Adaptability to evolving AI and analytics platforms

• Collaborative and team-oriented approach

Must-Have Skills

• Power BI (including Copilot exposure) or Tableau (including Tableau Pulse)

• SQL and analytical data validation skills

• Strong communication and documentation skills

• Experience supporting self-service analytics or advanced BI users

• Understanding of KPI-driven reporting and semantic models

• Problem-solving and structured thinking

Good-to-Have Skills

• Exposure to conversational analytics or NLP-based querying

• Experience working with AI explainability or insight generation features

• Knowledge of pharma therapy areas or launch analytics

• Familiarity with Databricks, Python, or AI notebooks

• Experience supporting global / multi-region BI programs

Highest Education

• Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, Statistics, or related quantitative field

• Strong academic background with exposure to analytics, data, or AI coursework

Performance Monitoring & Analytics Consultant_Full-Time_Pune

Job Title: Performance Monitoring & Analytics Consultant

Job Type: Full-Time

Location: Pune

Experience: 5+ Years

Educational Background - BE/ BTech

Job Description:

Must have skills:

Overall 5+ years of experience

5+ years of exp on Dynatrace Administration.

5+ years of exp in Any enterprise monitoring tool experience.

3+ years of working experience on Automation toolsets.

Must have 5 plus years of experience in Application Performance Monitoring using enterprise standard tools.

Must have proven experience on Dynatrace SaaS implementation and migration of legacy monitoring solutions to the next-gen observability solution.

Prior experience must include 3+ years of experience working with agile scalable software Engineering.

Prior experience must include 3+ years of experience in CICD, automation, and DevOps practices

Must have knowledge in application architecture, OSI layers, and software design and development methodologies.

Proven diagnosis and tuning experience with Application, Middleware, and Infrastructure Components.

Prior experience working with business metrics reporting, customer experience monitoring, and optimization for digital products.

Scripting capabilities (Ansible, Shell, Bash, Perl, PowerShell, etc.) to execute monitoring tasks for custom requirements within the capabilities of the suite of monitoring tools.

About Lowe's

Lowe's is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit

Lowe's India, the Global Capability Center of Lowe's Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe's India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

About Team

The Cost Analytics team supports all analytical and data requirements that supports the accounting function - specifically Margin & Cost, Vendor Funding, Imports, Trade Payables and Transporation Accounting. Leveraging firm's tech stack, the team works on varied problem statement and help in providing an optimum solution to end users

Job Summary

The Manager is primarily responsible for leading a team dedicated to the accounting function for Lowe's US operation in design, development and delivery business intelligence solutions. The principle purpose of the Manager is to work with the Business Leadership in delivering impactful data driven analytics support to the COA office. This position is responsible for designing the report to business needs with analytical best practices, facilitate to analyze results and identify insights for decision making. A substantial amount of technical knowledge is needed to support the various user requests and special projects.

This is accomplished by utilizing advanced tools and methods to leverage various financial data. A goal of this position is automation of processes and enhancements of existing business analytics. To accomplish this, decent knowledge of cost and financial analytics, be proficient in MS Access, MS Excel, VBA, SQL, Teradata, Knime/Alteryx, Power Apps, Power Query, Power BI, Hadoop (Big data), Google Cloud Platform, Python, R etc is required.

The Manager will collaborate directly with various areas of accounting teams and other areas of the Business in order to ensure Inventory, Revenue and Margin are reported accurately both from an Operational and Financial perspective. The position will possess analytical problem-solving, ability to synthesize multiple data points, will demonstrate the ability wrap multiple data points into a cohesive story and strategy.

Roles & Responsibilities:

Core Responsibilities:

• Partner with domain leaders to understand the requirements and deliver right set of solutions
• Lead and mentor a team of BI analysts and developers
• Foster a culture of continuous improvement and data literacy
• Ensure data accuracy, integrity, and security across all reporting platforms
• Present insights and findings to stakeholders across all levels of the organization
• Create solutions addressing the specific challenge using various tools
• Create and maintain documentation of processes
• Act as a consultant to end users for recommendation on tools and technical feasibility
• Guide the team in key business knowledge areas and technical architecture
• Work alloction and delivery management with maintaining high accuracy of all reports and analysis
• Drive initiatives aimed at bringing in innovative ideas to current processes

Years of Experience:

• 10+ years of experience in the domain of Reporting & Analytics
• 3+ years of experience in leadership/managerial role

Education Qualification & Certifications (optional)

Required Minimum Qualifications:

• Bachelor's Degree in Finance, Accounting, Analytics, Engineering or Business Intelligence
• Post Graduate in Finance/ Business Analytics will be an added advantage
• Experience working with multiple stakeholders across locations.

Skill Set Required

Primary Skills (must have)

• Excellent communication, problem-solving, and project management skills
• Understanding of relational databases - Teradata, IBM DB2, Hadoop, Google Cloud Platform
• Expertise in SQL - DDL & DML - Joins, Partition, Update, Stored Procedures, Query tuning, etc
• Advance MS Excel and MS Access experience including VBA Macros - LOOPS, Arrays, functions, procedures, User Forms, dynamic querying, Objects, Collections, Exception handling etc
• Experience working with analytical tools like Python, - Pandas, NumPy, PyOdbc,dateTime, etc
• Exposure to ETL tools like Alteryx and Knime
• Ability to create charts/visualization that aptly represents the trends and analysis
• Experience with Business Intelligence and Reporting tools, preferably in Power BI
• Analytical mindset to understand and solve complex business problem
• Self-motivated, strong leadership skills and excellent verbal/written skills

Ready to build the future with AI?

At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of AVP - Life Sciences & Healthcare Analytics

In this role, We are seeking a dynamic and visionary AVP- Life Sciences Analytics to lead a marquee engagement with a global innovator biopharma client. This leadership role combines strategic delivery oversight, client engagement, innovation incubation, and account growth. The ideal candidate will bring deep expertise in commercial analytics, a passion for innovation, and a proven track record of applying AI and new-age technologies to solve complex business problems.

You will be responsible for building and managing a high-performing team across India and the US, delivering cutting-edge analytics and AI solutions, and acting as a thought leader to shape and elevate our client partnership.

Responsibilities

Client Engagement & Strategic Leadership

• Serve as the primary point of contact for a global innovator client on analytics and AI initiatives.
• Partner with senior stakeholders (VPs, Heads of Commercial, Digital, AI/ML leads) to understand priorities and define solution roadmaps.
• Act as a trusted advisor and thought leader in commercial life sciences analytics, influencing client strategy.

Team Management & Delivery Oversight

• Lead and mentor a multi-disciplinary team spread across India and the US (data
• science, data engineering, domain SMEs).
• Drive flawless execution of deliverables, ensuring high-quality, timely, and impactful outcomes.
• Foster a culture of ownership, continuous learning, and innovation within the team.

Innovation & Solution Development

• Incubate and scale next-gen solutions using GenAI, NLP, predictive modeling, graph
• analytics, and cloud-native platforms (e.g., Snowflake, Databricks, Azure/AWS).
• Promote agile experimentation and adoption of cutting-edge tools and techniques.
• Translate emerging technologies into scalable business value for the client.

Growth & Account Expansion

• Identify whitespace opportunities and collaborate with the sales team to grow the account.
• Co-create proposals and POVs showcasing analytics-led value for new business use cases.
• Expand footprint into adjacent areas like RWE, patient analytics, omnichannel, or AI powered operations.

Qualifications we seek in you!

Minimum Qualifications

Bachelor's or Master's degree in Engineering, Life Sciences, Statistics, Data Science, or

related fields; MBA or PhD is a plus.

Preferred Qualifications/ Skills

• Relevant years of experience in Healthcare, Medtech, Life Sciences analytics, with
• significant exposure to US and global commercial functions.
• Proven experience leading large-scale, high-impact analytics and AI programs for
• innovator clients.
• Strong expertise in commercial analytics areas such as forecasting, brand performance, HCP segmentation, patient analytics, omnichannel, etc.
• Experience working across geographies with distributed teams.
• Demonstrated ability to drive innovation using modern technologies (AI/ML, GenAI, cloud, NLP, etc.)
• Hands-on understanding of analytics platforms, data infrastructure, and MLOps is a plus.
• Experience working in or with global biopharma innovators.
• Published or presented in conferences or forums on analytics, AI, or digital transformation in life sciences.
• Passionate about building high-performance teams and mentoring future leaders.
• Entrepreneurial mindset with a bias for action and innovation.
• Lead the analytics solutioning efforts for our US-based Medical Devices or MedTech clients, ensuring the development and delivery of innovative and impactful analytics solutions.
• Understand client requirements and challenges in the commercial and supply chain analytics areas and develop comprehensive analytics strategies to address them effectively.
• Collaborate with cross-functional teams, including data scientists, analysts, and
• consultants, to design and deliver end-to-end analytics solutions tailored to client needs.
• Stay up-to-date with industry trends, challenges, and developments in the MedTech
• sector, and provide thought leadership on how new analytics advancements can solve business problems.
• Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models.
• Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation.
• Building chatbot using different scalable data source for generating charts and statement.
• Proficiency in programming language Python, SQL.
• Strong executive presence with excellent communication and stakeholder management skills.
• Experience in Multi Chanel marketing, Omnichannel, Digital and Marketing analytics
• with relevant experience in in Pharma / Life sciences industry, leading large analytics engagement
• As lead program manager, facilitate cross-functional stakeholder discussions and drive consultative selling and innovation with hands-on analytical deep-dive
• Demonstrated though leadership in driving continuous improvement in MCM and
• Marketing analytics in the areas of brand launch initiatives, customer journey, brand positioning, customer segmentation, business insights, campaign effectiveness measurement, channel affinity, next best action etc.,
• Exposure to pharma data sets such as IQVIA, Symphony: Xponent, PlanTrak, NPA, DDD,
• Digital Interaction data, Veeva CRM, Call Activity data, Adobe, Google analytics data, IPad, Social media data,

Why join Genpact?

• Lead AI-first transformation - Build and scale AI solutions that redefine industries
• Make an impact - Drive change for global enterprises and solve business challenges that matter
• Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build
• Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
• Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
• Let's build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Title: SAP SAC Consultant

Experience Required: 4 - 10 years in SAP SAC

Industry Preference: Experience in the spare parts industry is a plus

Key Responsibilities:

Role Summary

As a Senior Consultant, you'll architect complex SAC solutions for enterprise clients, overseeing end-to-end implementations. This includes advanced data blending, custom SAC analytic application scripting, SAC planning for budgeting and forecasting, and integration with AI/ML capabilities.

Focus on optimizing SAC for scalable analytics, providing strategic advice on digital transformation, and resolving high-impact issues to maximize ROI.

Required Skills/Experience

• 5-8 years of experience in analytics consulting, with deep SAC specialization.
• Expertise in SAC advanced features, including planning, augmented analytics, APIs, SAC planning, and SAC analytic application scripting.
• Design and creation of SAC Stories and Analytical Applications
• Working with live and acquired connections
• Data modeling in SAC
• Design and implementation of authorizations/roles
• Creation of SAC planning masks, workflows, planning calendars etc.
• Programming of data actions
• Strong client-facing skills, including presentation and requirement elicitation.
• Strong knowledge of SAP ecosystem (e.g., S/4HANA, BW) and hybrid cloud environments.
• Proven team leadership and stakeholder management skills.
• Relevant certifications (e.g., SAC Professional) and experience in agile methodologies.

Desired qualifications

• Bachelors: Commerce/ Science / Engineering background from a premier institute preferred
• Strong communication skills (written & verbal)
• Willingness to travel for short and long term durations.

Location and way of working

• Base location: PAN INDIA

We are seeking skilled and experienced professional with over 1-2 years of expertise in both video analytics and web development. As a Video Analytics and Web Development Specialist, you will play a crucial role in designing, implementing, and optimizing video analytics solutions while also contributing to the development and maintenance of web applications. The ideal candidate should have a strong background in computer vision, machine learning, and web technologies, coupled with the ability to mentor other team members.

Qualifications

1-2 years of experience with a Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.

Essential skills -

Strong knowledge of programming languages such as Python; Framework: Django, Flask.

Proficient in MySQL with expertise in PL SQL, Triggers, Joins, and Views.

Experience using Computer vision using TensorFlow and Torch.

Experience in object detection models like YOLO, SSD.

Experience in framework like FastAPI.

Experience with web development technologies such as HTML, CSS, and JavaScript

Experience with version control tools such as Git

Strong analytical and problem-solving skills

Good communication and teamwork skills

Conversational English speaking skills

Good to have skills -

Experience using SQL and NoSQL databases such as MongoDB.

Experience with cloud platforms such as AWS, Azure, or GCP is a plus

Full Time Job location -

Chandivali, Mumbai

1. Position Summary

The Full Stack Developer Lead is responsible for designing and leading development of user facing applications, dashboards, portals and APIs required to deliver AI, analytics and automation solutions to business users. This includes UIs for Manufacturing Control Tower, dashboards for Golden Batch and Yield, interfaces for OOS prediction and pricing models, and tools that enable RPA and AI capabilities to be consumed effectively.

2. Roles Played

• Technical lead for full stack development team.
• Owner of application architecture at solution level under guidance of Architecture Lead and Solution Architect.
• Custodian of code quality, UI/UX consistency and development best practices.

3. Key Platforms / Technologies

• Front end frameworks such as Angular, React or Vue.
• Back end technologies such as .NET, Java, Node.js or Python based services.
• APIs and microservices (REST, GraphQL etc.).
• Integration with data platforms, AI services and RPA tools.
• CI/CD tools, code repositories and DevOps pipelines.

4. Overall Job Responsibilities

A. Application & UI/UX Architecture ( 20%)

• Design application structure, technology stack and UI framework for AI and analytics solutions.
• Work with Solution Architect to ensure front-end and back-end design aligns with overall solution architecture.
• Define reusable components and design patterns for dashboards and portals.

B. Full Stack Development & Code Quality ( 30%)

• Lead the full stack team in developing scalable, maintainable applications.
• Enforce coding standards, code reviews and unit testing practices.
• Ensure applications are responsive, user friendly and meet business expectations.

C. Integration & API Development ( 20%)

• Design and build APIs and microservices to connect front end apps with data platforms, AI models and RPA services.
• Work closely with Data Engineering and Solution Architecture teams on data contracts and payloads.

D. DevOps & Release Management ( 10%)

• Collaborate with DevOps and infrastructure teams to set up CI/CD pipelines, environments and deployments.
• Ensure smooth releases and rollback strategies for production applications.

E. Security, Performance & Reliability ( 10%)

• Build security (authentication, authorization, input validation) into the application layer.
• Monitor and optimize application performance and error rates.
• Ensure logging and monitoring are in place for troubleshooting.

F. Team Leadership & Collaboration ( 10%)

• Mentor and guide full stack developers.
• Coordinate with UX designers, Data Engineers, Data Scientists and business SMEs.
• Support knowledge transfer and documentation for long-term maintainability.

5. External Interfaces

• Implementation partners and specialized UI/UX or development vendors.

6. Internal Interfaces

• Solution Architect and Architecture Lead.
• Data Engineering Lead and Data Science teams.
• Business SMEs and key user groups.
• Infrastructure / DevOps and Security teams.

8. Education

• Bachelor's degree in engineering / computer science / IT - mandatory.

9. Experience

• 8-12 years in software development with at least 3-5 years as Technical Lead / Full Stack Lead.
• Strong background building enterprise web applications and dashboards.
• Experience integrating with data platforms and APIs; exposure to analytics or AI products preferred.

10. Knowledge & Skills (Functional / Technical)

• Proficiency in at least one modern front-end framework and back-end stack.
• Experience designing RESTful APIs and working with JSON, XML etc.
• Familiarity with CI/CD, Git, automated testing and deployment practices.
• Basic understanding of data/analytics concepts and how UI accesses them.

11. Leadership / Managerial Attributes

• Strong ownership and bias for action.
• Ability to manage and mentor a small development team.
• Good communication and stakeholder management skills.

12. Other Requirements

• Relevant technology certifications are an advantage.
• Willingness to support critical releases outside business hours when required.

About Us

ZEG India Pvt Ltd, a subsidiary of Zero-Emission Grid, LLC, specializes in planning and engineering sustainable power grids with a focus on decarbonization. Backed by more than 70 years of collective experience, ZEG’s rapidly growing team is dedicated to solving some of the most complex power grid challenges. We prioritize innovation, agility, and strong client partnerships to help advance the global energy transition.

At ZEG, mutual respect is fundamental to who we are. We recognize the importance of commitment and support in building a strong team and enabling individual growth. If you share our passion for the energy transition, are eager to challenge yourself, and value collaboration within a dedicated team, we invite you to explore our open positions and consider joining us on this journey. Together, we can help shape the future of sustainable power grids.

Position: (Senior) Engineer, Power Systems Analytics

Company: ZEG India Pvt Ltd

Job ID: IN202601281

Job Location : India

ZEG India continues to grow rapidly and is seeking a candidate to support our power systems analytics services. As a core member of the team, the ideal candidate will be organized, detail-oriented, personable, and professionally driven, with a strong interest in contributing to ZEG’s mission of decarbonizing the power grid. The candidate is expected to bring subject-matter expertise in

Job Description: CPG Practice Head – Retail AI

Position Title: VP – CPG Analytics

Reports To: Services Head

Focus Area: CPG Analytics

Industry Vertical: CPG & Supply Chain

Role Overview

We are seeking a visionary Practice Lead to spearhead our Consumer Packaged Goods (CPG) Analytics division. This is a high-impact, hybrid role designed for a strategic thinker who lives at the intersection of Data/AI and RGM & Supply Chain (Commercial) Strategy .

As the Practice Lead, you will be the primary architect of our CPG market expansion, driving customer acquisition through expert-led presales and deep domain authority. You will work hand-in-hand with our Field Sales teams to translate complex AI capabilities into high-value business outcomes for global CPG brands.

Key Responsibilities

• Growth & Presales Leadership: Lead the "technical sell" by partnering with Field Sales to identify opportunities, lead discovery sessions, and design bespoke analytics roadmaps to win new logos.
• Domain Expertise: Serve as a Subject Matter Expert (SME) in at least one (ideally multiple) of the following areas: Revenue Growth Management (RGM) , Trade Promotion Optimization (TPO) , Supply Chain Optimization , or Consumer/Shopper Insights .
• Solut

Prescience Decision Solutions PVT Ltd: - Senior Analyst

Job Description:

1. Masters SQL (advanced)
2. Good command of Tableau. Experience building complex, self-service dashboards as well as data pipelines.
3. Good critical thinking/problem solving. ability to structure and simplify complex problems and leverage data to answer business questions or perform root-cause analysis.
4. Strong Problem-solving skills with the ability to interpret complex data sets.

• High level of attention to detail to ensure accuracy in data analysis and documentation.
• Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently.
• Effective communicator and fluent English (written and spoken).
• Mandatory Skills - Advance SQL, Tableau & Data Analysis

Responsibilities:

• Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems.
• Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.
• Drive innovation and continuous improvement within the shipping analytics team.

Prescience Decision Solutions (A Movate Company)

Yesterday