Find Your Dream Analytics Job in India

Date Of Virtual Interview : 11-Jun-26

Job Title : SAP BTP Analytics Consultan

tExperience : 5 to 12 Yr

sLocation : Bengaluru/Hyderaba

d Key Responsibilities

• : Design and develop end-to-end analytics solutions on SAP B
• TP.Build and optimize data models using SAP Datasphere / BW/4HANA / HANA Clo
• ud.Develop interactive dashboards, reports, and planning models in SAP Analytics Cloud (SA
• C).Integrate data from multiple sources (SAP & non-SAP) using BTP services li
• ke:SAP Data Intelligence / Integration Su
• iteSDI / SDA / ETL to
• olsPerform data extraction, transformation, and loading (ETL) process
• es.Implement data governance, security, and access control in analytics solutio
• ns.Collaborate with business stakeholders to translate requirements into technical solutio
• ns.Optimize report performance and ensure scalabili
• ty.Provide support for analytics applications and resolve production issu
• es.Stay updated on latest SAP BTP and analytics innovatio

Assistant Manager - Content Analytics, Digital Business

Location: Mumbai Function: SonyLIV Reports to: Manager, Content Analytics, Digital Business

Purpose - The incumbent would be responsible for supporting the growth of the business through sharp data insights and analysis. He will also be responsible for bringing together data insights from various sources to contribute towards comprehensive, data-driven business strategies.

Key Responsibilities

• Use data analytics to understand the content performance on platform
• In depth analysis of key viewership metrics and regularly reporting them to stakeholders
• Development and management of data dashboards for daily insights
• Enable business to increase the viewership and maximize revenue
• Report and automate the key business performance metrics for all key launches
• Work on target setting and tracking of viewership targets for all upcoming launches

Key Metrics

• DAU / MAU growth
• Watch time
• Completion rates
• Retention rates
• Content engagement
• CTR on featured content
• Subscriber/viewer growth
• Launch performance

Critical Competencies

• Strong analytical skills and data-driven knowledge
• Strategic thinking mindset
• Ability to break down and present complex data insights into simplified storytelling to cross-functional teams
• Strongly driven to take ownership and independently develop a data-driven point of view in a fast-paced, complex and cross-functional environment
• Strong knowledge of Advanced Excel, SQL, and knowledge of R or python
• Good to have experience with at least one BI tool such as Tableau, PowerBI, Looker etc

Technical Competencies

• SQL
• Advanced Excel
• Python/R
• BI Tools (Tableau/Microsoft Power BI/Looker)

Preferred Candidate Profile

MBA/ Postgraduate in Marketing, Media, Analytics or related field, 5+ years of experience in data analytics. Knowledge of SQL and Advanced Excel, Python or R is desired

Why join us?

Sony Pictures Networks India (SPNI) is the consumer-facing identity of Culver Max Entertainment Private Limited which is an indirect wholly owned subsidiary of Sony Group Corporation, Japan. A leading media and entertainment conglomerate, SPNI comprises 28 Premium Channels in both SD and HD formats, including leading Hindi General Entertainment Television Channels - Sony Entertainment Television; Sony SAB and Sony PAL; Marathi General Entertainment Channel - Sony Marathi; Bangla General Entertainment Channel - Sony AATH; Hindi Movie Channels - Sony MAX, Sony MAX 1, Sony MAX 2 and Sony WAH; renowned destination for sports fans - Sony Sports Network comprising Sony Sports Ten 1, Sony Sports Ten 2, Sony Sports Ten 3, Sony Sports Ten 4, Sony Sports Ten 5; Kids Entertainment Channel - Sony YAY!; English Movie Channel - Sony PIX; Factual Entertainment Channel - Sony BBC Earth; Free Ad-Supported Streaming Television (FAST) channel in the US and Canada - Sony KAL; Digital entertainment OTT platform - Sony LIV and the independent production venture for original content and IPs for TV and digital media - Studio NEXT. This Network reaches out to over 700 million viewers in India and is available in over 150 countries.

Recognised as an employer of choice within and outside the media industry, SPNI is a recipient of several awards, including India's Best Companies to Work For 2021 by the Great Place to Work Institute, India, Exemplars of Inclusion in AVTAR & Seramount's Most Inclusive Companies Index 2024 and listed as one of the 100 Best Companies for Women in India for eight consecutive years by AVTAR & Seramount. In recognition of the company's unique workplace culture and exceptional people practices SPNI won the ET Future Skills 2024 for Best Learning Program Supporting Change Transformation Business Strategy, and the TISS LeapVault CLO Awards 2024 for Best Employee Engagement Program and Best Games Based Learning Program.

SPNI is in its 30th year of operations in India. Besides having overseas subsidiaries, it has a subsidiary MSM-Worldwide Factual Media Private Limited, and an affiliate, Bangla Entertainment Private Limited in India.

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Infocepts is hiring for Senior Power Platform Lead Developer

Position: Senior Power Platform Lead Developer

Location: Pune (preferred), Nagpur

Type of Employment: Full time

Key Result Areas and Activities

1. Workflow Architecture & Design

• Lead the design and implementation of enterprise grade workflows using Power Automate, aligned to finance and approval driven business processes
• Define and enforce workflow standards across approvals, SLA management, exception handling, and auditability
• Ensure workflows are scalable, secure, and compliant with enterprise governance and control requirements

2. Delivery and Execution

• Lead workflow migration activities from Appian to Microsoft Power Platform as part of phased modernization programs
• Collaborate with data, integration, and SAP teams to ensure seamless end to end process execution
• Leverage AI assisted discovery and validation tools to accelerate migration planning and regression testing
• Own functional parity assessment, documenting gaps, considerations, and remediation approaches

3. Integration and Connectivity Leadership

• Design and implement integrations using Power Automate, PowerApps, custom connectors, and SAP BAPI or OData services for SAP Integration
• Ensure reliable email, notification, and document handling integrations across business workflows
• Work with security and platform teams to manage identity, access, and API governance requirements
• Ensure robust error handling, retry mechanisms, and monitoring across all integrated workflows

4. Team Leadership & Advisory

• Mentor and guide Power Platform developers on workflow best practices and design patterns
• Conduct technical reviews and ensure adherence to defined architecture and governance standards
• Act as a technical advisor to business stakeholders during checkpoints, demos, and steering committee meetings
• Contribute to pre sales activities, solution articulation, and migration assessments

Work and Technical Experience

Essential Skills:

• 6-9 years of experience in PowerApps development using Power platform
• Strong hands on expertise with Microsoft Power Automate (Cloud Flows), Dataverse, and Power Platform
• Experience migrating workflows from any LowCode-NoCode BPM platforms to Microsoft Power Platform
• Deep understanding of approval workflows, SLA management, exception handling, and audit logging
• Proven experience integrating Power Automate with SAP using BAPI, OData services, and custom connectors
• Strong Power Fx proficiency and advanced expression handling capabilities
• Excellent communication skills for engaging effectively with both business and technical stakeholders

Desirable Skills

• Power Platform certifications such as PL 500 and PL 600
• Experience with Appian SAIL interfaces and process modelling concepts
• Exposure to AI assisted migration or testing accelerators
• Experience working on finance or ERP modernization programs

Qualification:

• Bachelor's degree in computer science, engineering, or related field (master's degree is a plus)
• 6- 9 years of relevant experience; two years may be substituted for a master's degree

Job Title: SAP Analytics Cloud (SAC)

Experience - 5+ Years

full time with 3Minds e solution pvt ltd

Notice period - Immediate joiner or 15 days

Job Summary

:We are seeking an experienced SAP Analytics Cloud (SAC) - Embedded Analytics Consultant with strong expertise in SAP Analytics Cloud, Embedded Analytics, SAP BW/HANA integration, and SAP Callidus solutions. The ideal candidate should have hands-on experience in developing dashboards, analytical applications, reporting solutions, and business intelligence analytics within SAP environments

Key Responsibilities

• :Design, develop, and maintain SAP Analytics Cloud (SAC) dashboards, stories, and report
• sWork on Embedded Analytics solutions within SAP S/4HANA environment
• sDevelop analytical applications, visualizations, and business intelligence report
• sIntegrate SAC with SAP BW, SAP HANA, and SAP S/4HANA system
• sWork with SAP Callidus solutions and incentive compensation analytic
• sGather and analyze business requirements from stakeholder
• sProvide data-driven analytical solutions for business processe
• sPerform data modeling, reporting, and performance optimizatio
• nTroubleshoot analytics and reporting-related issue
• sCollaborate with functional and technical teams for implementation and suppor

tRequired Skills

• :Strong experience in SAP Analytics Cloud (SAC
• )Experience in Embedded Analytic
• sHands-on experience with SAP BW / SAP HANA Integratio
• nGood knowledge of SAP S/4HANA Analytic
• sExperience in Dashboard & Story Creatio
• nExpertise in Data Modeling & Reportin
• gExperience with Analytical Applications & Data Visualizatio
• nSAP Callidus experience is mandatory/preferre
• dStrong analytical and problem-solving skill

Greetings from Themesoft!

We are looking for an experienced SAP SAC Planning Consultant with strong expertise in Budgeting & Planning, Financial Planning, Forecasting, and Advanced Analytics

. Position: Senior SAP Analytics Planning Consultan

tsExperience: 6-15 Year

s Position Type: Contra

ctLocation: PAN India- Hybr

id Key Responsibiliti

es:• Design and develop SAC Planning Models, Data Actions, Multi Actions, Input Forms, and Calendar Ta

sks• Implement security, data access controls, locking mechanisms, and workflow proces

ses• Work closely with Finance SMEs to support P&L, Balance Sheet, Cash Flow, OPEX, and CAPEX plann

ing• Optimize SAC Planning performance and user experie

nce• Provide recommendations for SSO, roles, and authorization se

tup• Collaborate directly with business stakeholders and IT te

ams Required Ski

lls: SAP Analytics Cloud (SAC) Plan

ning Budgeting & Forecas

ting FP&A and Financial Plan

ning Workflow & Data Access Cont

rols SAC Security & Authoriza

tion Advanced Analytics & Repor

ting Client-facing experi

ence If interested share updated resume to

Role Summary

Senior Data Scientist focused on fraud strategy analytics and operational monitoring across a consumer lending portfolio. You will turn fraud data, scorecard performance, and decisioning outcomes into actionable policy, rule, and reporting recommendations - partnering closely with fraud operations, product, credit/risk, data engineering, and external vendors. Day-to-day responsibilities include monitoring, trend detection, third-party signal assessment, and cross-functional execution.

Key Responsibilities

• Translate fraud data and model outputs into clear policy, rule, and threshold recommendations for the decision engine, and partnering with cross-functional teams to prioritize and implement them.
• Monitor portfolio fraud performance - loss rates, capture rates, false-positive rates, approval impact, vintage trends, and segment-level KPIs - and surface issues with proposed actions.
• Track scorecard and model performance (PSI, score drift, KS, decay) and recommend recalibration, rule adjustments, or escalation when performance degrades.
• Detect emerging fraud trends, rings, and cross-channel vulnerabilities through analytics on application, behavioral, device, and third-party data; size the impact and propose mitigations.
• Assess and benchmark third-party fraud and identity signals (identity verification, device intelligence, consortium data, bank/transaction data); recommend which to onboard, retire, or reweight.
• Partner with fraud operations to monitor real-time fraud trends, interpret investigator findings, and convert case-level insights into rule, policy, and reporting changes.
• Design and analyze champion/challenger tests and policy backtests to quantify the impact of strategy changes on fraud rates, approvals, and downstream credit performance.
• Produce regular fraud reporting and executive deep dives - loss attribution, typology trends, decisioning outcomes - for senior leadership.
• Collaborate with product, data engineering, credit/risk, and external vendors to evolve fraud data sources, decisioning workflows, and monitoring infrastructure.
• Act as a subject matter expert on fraud data, scorecard behavior, and decision engine outcomes for cross-functional partners.

Qualifications

• 4-7 years in fraud strategy and analytics in financial services or fintech, with a hands-on analytical focus.
• Strong understanding of fraud typologies in consumer lending - identity, synthetic, first-party, and third-party fraud - and how they manifest in application and account data.
• Working knowledge of fraud models and scorecards: how they are built, evaluated, and monitored, with the ability to interpret outputs and recommend strategy changes.
• Advanced SQL and Python proficiency for portfolio analytics, segmentation, and reporting.
• Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.
• Clear written and verbal communication; able to translate analytics into recommendations for technical and non-technical stakeholders.
• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).

Preferred Qualifications

• Experience in consumer lending or other high-fraud-risk credit products.
• Familiarity with US consumer lending regulations and risk management practices.
• Exposure to graph or network analysis for fraud ring detection.

Role Summary

Senior Data Scientist focused on fraud strategy analytics and operational monitoring across a consumer lending portfolio. You will turn fraud data, scorecard performance, and decisioning outcomes into actionable policy, rule, and reporting recommendations - partnering closely with fraud operations, product, credit/risk, data engineering, and external vendors. Day-to-day responsibilities include monitoring, trend detection, third-party signal assessment, and cross-functional execution.

Key Responsibilities

• Translate fraud data and model outputs into clear policy, rule, and threshold recommendations for the decision engine, and partnering with cross-functional teams to prioritize and implement them.
• Monitor portfolio fraud performance - loss rates, capture rates, false-positive rates, approval impact, vintage trends, and segment-level KPIs - and surface issues with proposed actions.
• Track scorecard and model performance (PSI, score drift, KS, decay) and recommend recalibration, rule adjustments, or escalation when performance degrades.
• Detect emerging fraud trends, rings, and cross-channel vulnerabilities through analytics on application, behavioral, device, and third-party data; size the impact and propose mitigations.
• Assess and benchmark third-party fraud and identity signals (identity verification, device intelligence, consortium data, bank/transaction data); recommend which to onboard, retire, or reweight.
• Partner with fraud operations to monitor real-time fraud trends, interpret investigator findings, and convert case-level insights into rule, policy, and reporting changes.
• Design and analyze champion/challenger tests and policy backtests to quantify the impact of strategy changes on fraud rates, approvals, and downstream credit performance.
• Produce regular fraud reporting and executive deep dives - loss attribution, typology trends, decisioning outcomes - for senior leadership.
• Collaborate with product, data engineering, credit/risk, and external vendors to evolve fraud data sources, decisioning workflows, and monitoring infrastructure.
• Act as a subject matter expert on fraud data, scorecard behavior, and decision engine outcomes for cross-functional partners.

Qualifications

• 4-7 years in fraud strategy and analytics in financial services or fintech, with a hands-on analytical focus.
• Strong understanding of fraud typologies in consumer lending - identity, synthetic, first-party, and third-party fraud - and how they manifest in application and account data.
• Working knowledge of fraud models and scorecards: how they are built, evaluated, and monitored, with the ability to interpret outputs and recommend strategy changes.
• Advanced SQL and Python proficiency for portfolio analytics, segmentation, and reporting.
• Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.
• Clear written and verbal communication; able to translate analytics into recommendations for technical and non-technical stakeholders.
• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).

Preferred Qualifications

• Experience in consumer lending or other high-fraud-risk credit products.
• Familiarity with US consumer lending regulations and risk management practices.
• Exposure to graph or network analysis for fraud ring detection.

Role Summary

Senior Data Scientist focused on fraud strategy analytics and operational monitoring across a consumer lending portfolio. You will turn fraud data, scorecard performance, and decisioning outcomes into actionable policy, rule, and reporting recommendations - partnering closely with fraud operations, product, credit/risk, data engineering, and external vendors. Day-to-day responsibilities include monitoring, trend detection, third-party signal assessment, and cross-functional execution.

Key Responsibilities

• Translate fraud data and model outputs into clear policy, rule, and threshold recommendations for the decision engine, and partnering with cross-functional teams to prioritize and implement them.
• Monitor portfolio fraud performance - loss rates, capture rates, false-positive rates, approval impact, vintage trends, and segment-level KPIs - and surface issues with proposed actions.
• Track scorecard and model performance (PSI, score drift, KS, decay) and recommend recalibration, rule adjustments, or escalation when performance degrades.
• Detect emerging fraud trends, rings, and cross-channel vulnerabilities through analytics on application, behavioral, device, and third-party data; size the impact and propose mitigations.
• Assess and benchmark third-party fraud and identity signals (identity verification, device intelligence, consortium data, bank/transaction data); recommend which to onboard, retire, or reweight.
• Partner with fraud operations to monitor real-time fraud trends, interpret investigator findings, and convert case-level insights into rule, policy, and reporting changes.
• Design and analyze champion/challenger tests and policy backtests to quantify the impact of strategy changes on fraud rates, approvals, and downstream credit performance.
• Produce regular fraud reporting and executive deep dives - loss attribution, typology trends, decisioning outcomes - for senior leadership.
• Collaborate with product, data engineering, credit/risk, and external vendors to evolve fraud data sources, decisioning workflows, and monitoring infrastructure.
• Act as a subject matter expert on fraud data, scorecard behavior, and decision engine outcomes for cross-functional partners.

Qualifications

• 4-7 years in fraud strategy and analytics in financial services or fintech, with a hands-on analytical focus.
• Strong understanding of fraud typologies in consumer lending - identity, synthetic, first-party, and third-party fraud - and how they manifest in application and account data.
• Working knowledge of fraud models and scorecards: how they are built, evaluated, and monitored, with the ability to interpret outputs and recommend strategy changes.
• Advanced SQL and Python proficiency for portfolio analytics, segmentation, and reporting.
• Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.
• Clear written and verbal communication; able to translate analytics into recommendations for technical and non-technical stakeholders.
• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).

Preferred Qualifications

• Experience in consumer lending or other high-fraud-risk credit products.
• Familiarity with US consumer lending regulations and risk management practices.
• Exposure to graph or network analysis for fraud ring detection.

Role Summary

Senior Data Scientist focused on fraud strategy analytics and operational monitoring across a consumer lending portfolio. You will turn fraud data, scorecard performance, and decisioning outcomes into actionable policy, rule, and reporting recommendations - partnering closely with fraud operations, product, credit/risk, data engineering, and external vendors. Day-to-day responsibilities include monitoring, trend detection, third-party signal assessment, and cross-functional execution.

Key Responsibilities

• Translate fraud data and model outputs into clear policy, rule, and threshold recommendations for the decision engine, and partnering with cross-functional teams to prioritize and implement them.
• Monitor portfolio fraud performance - loss rates, capture rates, false-positive rates, approval impact, vintage trends, and segment-level KPIs - and surface issues with proposed actions.
• Track scorecard and model performance (PSI, score drift, KS, decay) and recommend recalibration, rule adjustments, or escalation when performance degrades.
• Detect emerging fraud trends, rings, and cross-channel vulnerabilities through analytics on application, behavioral, device, and third-party data; size the impact and propose mitigations.
• Assess and benchmark third-party fraud and identity signals (identity verification, device intelligence, consortium data, bank/transaction data); recommend which to onboard, retire, or reweight.
• Partner with fraud operations to monitor real-time fraud trends, interpret investigator findings, and convert case-level insights into rule, policy, and reporting changes.
• Design and analyze champion/challenger tests and policy backtests to quantify the impact of strategy changes on fraud rates, approvals, and downstream credit performance.
• Produce regular fraud reporting and executive deep dives - loss attribution, typology trends, decisioning outcomes - for senior leadership.
• Collaborate with product, data engineering, credit/risk, and external vendors to evolve fraud data sources, decisioning workflows, and monitoring infrastructure.
• Act as a subject matter expert on fraud data, scorecard behavior, and decision engine outcomes for cross-functional partners.

Qualifications

• 4-7 years in fraud strategy and analytics in financial services or fintech, with a hands-on analytical focus.
• Strong understanding of fraud typologies in consumer lending - identity, synthetic, first-party, and third-party fraud - and how they manifest in application and account data.
• Working knowledge of fraud models and scorecards: how they are built, evaluated, and monitored, with the ability to interpret outputs and recommend strategy changes.
• Advanced SQL and Python proficiency for portfolio analytics, segmentation, and reporting.
• Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.
• Clear written and verbal communication; able to translate analytics into recommendations for technical and non-technical stakeholders.
• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).

Preferred Qualifications

• Experience in consumer lending or other high-fraud-risk credit products.
• Familiarity with US consumer lending regulations and risk management practices.
• Exposure to graph or network analysis for fraud ring detection.

Role Summary

Senior Data Scientist focused on fraud strategy analytics and operational monitoring across a consumer lending portfolio. You will turn fraud data, scorecard performance, and decisioning outcomes into actionable policy, rule, and reporting recommendations - partnering closely with fraud operations, product, credit/risk, data engineering, and external vendors. Day-to-day responsibilities include monitoring, trend detection, third-party signal assessment, and cross-functional execution.

Key Responsibilities

• Translate fraud data and model outputs into clear policy, rule, and threshold recommendations for the decision engine, and partnering with cross-functional teams to prioritize and implement them.
• Monitor portfolio fraud performance - loss rates, capture rates, false-positive rates, approval impact, vintage trends, and segment-level KPIs - and surface issues with proposed actions.
• Track scorecard and model performance (PSI, score drift, KS, decay) and recommend recalibration, rule adjustments, or escalation when performance degrades.
• Detect emerging fraud trends, rings, and cross-channel vulnerabilities through analytics on application, behavioral, device, and third-party data; size the impact and propose mitigations.
• Assess and benchmark third-party fraud and identity signals (identity verification, device intelligence, consortium data, bank/transaction data); recommend which to onboard, retire, or reweight.
• Partner with fraud operations to monitor real-time fraud trends, interpret investigator findings, and convert case-level insights into rule, policy, and reporting changes.
• Design and analyze champion/challenger tests and policy backtests to quantify the impact of strategy changes on fraud rates, approvals, and downstream credit performance.
• Produce regular fraud reporting and executive deep dives - loss attribution, typology trends, decisioning outcomes - for senior leadership.
• Collaborate with product, data engineering, credit/risk, and external vendors to evolve fraud data sources, decisioning workflows, and monitoring infrastructure.
• Act as a subject matter expert on fraud data, scorecard behavior, and decision engine outcomes for cross-functional partners.

Qualifications

• 4-7 years in fraud strategy and analytics in financial services or fintech, with a hands-on analytical focus.
• Strong understanding of fraud typologies in consumer lending - identity, synthetic, first-party, and third-party fraud - and how they manifest in application and account data.
• Working knowledge of fraud models and scorecards: how they are built, evaluated, and monitored, with the ability to interpret outputs and recommend strategy changes.
• Advanced SQL and Python proficiency for portfolio analytics, segmentation, and reporting.
• Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.
• Clear written and verbal communication; able to translate analytics into recommendations for technical and non-technical stakeholders.
• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).

Preferred Qualifications

• Experience in consumer lending or other high-fraud-risk credit products.
• Familiarity with US consumer lending regulations and risk management practices.
• Exposure to graph or network analysis for fraud ring detection.

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

****Senior SAP Analytics Functional Consultant****

We are looking for a Senior SAP Analytics Functional Consultant with 10+ years of overall experience and 5+ years in SAP Analytics (SAC/Datasphere) to support enterprise analytics initiatives across Finance and Operations.

This is a techno-functional role (non-development) focused on bridging business requirements with technical delivery teams.

Role-Senior SAP Analytics Functional Consultant

Duration- 6 months (with possible extension)

Location-India

Work Mode-Remote

Workload-5 days a week

Required Skills & Experience

10+ years of overall experience, with 5+ years in SAP Analytics (SAC / Datasphere or similar)

Strong understanding of analytics, reporting, and data modelling concepts

Experience with SAP Analytics Cloud (SAC) and/or SAP Datasphere (functional perspective)

Solid knowledge of CDS views, SAP tables, and data structures

Proven ability to convert functional requirements into technical specifications

Exposure to Finance and Operations analytics use cases

Excellent stakeholder management and communication skills.

If you are interested, please send me your updated CV to hali@redglobal.com for immediate consideration or if you have someone you'd recommend, we would greatly appreciate it.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Description

Job Title: Analytics Consultant

Location: Bangalore (Onsite)

Reporting to: Title of the Manager

PURPOSE OF ROLE

• Work closely with the Global team to provide insights and a road map for beer category development.

KEY TASKS AND ACCOUNTABILITIES

• Focus on developing end-to-end analytical solution- Understand business landscape, translate business problems into analytical fra

The Senior Manager – Financial Analytics will be responsible for driving data-driven financial insights, strengthening MIS frameworks, and enabling performance tracking across lending businesses. The role will support senior leadership with high-quality analytics, forecasting, and strategic inputs to optimize portfolio performance, profitability, and risk-adjusted returns.

Key Responsibilities

1. Financial Analytics & Portfolio Insights

• Conduct detailed financial and operational analysis across loan portfolios (Retail/MSME/Corporate as applicable).
• Analyze key NBFC metrics such as Net Interest Margin (NIM), Yield, Cost of Funds, Credit Cost, IRR, ROA, ROE , and portfolio profitability.
• Provide insights on disbursements, collections, delinquencies, and asset quality trends (PAR, NPA, write-offs).
• Evaluate product-level profitability and customer segment performance.

2. MIS, Reporting & Dashboarding

• Own and manage end-to-end MIS preparation for business units and senior management.
• Develop and automate periodic reports (daily/weekly/monthly) covering:
• Business volumes (sanctions, disbursements)
• Collections efficiency
• Portfolio quality (DPD buckets, GNPA/NNPA)
• Design intuitive dashboards for leadership using visualization tools.
• Ensure accuracy, timeliness,

About the Role: Join eClerx as a Senior Client Delivery Lead in Analytics, where you will lead our analytics and data engineering services for one of our top-tier clients, a global leader in payment processing and financial services. This role involves devising growth strategies for our data & analytics operations, managing P&L, and ensuring seamless daily delivery while fostering strong client relationships. You will also serve as a trusted advisor to the client's executive team and a guiding mentor to the service delivery team.

Senior Program Manager Roles & responsibilities:

• Lead and provide strategic direction to teams, ensuring alignment with client’s business objectives
• Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives
• Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams
• Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities
• Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client
• Work closely with sale

Associate Director, Sales Operations & Incentive Compensation

Company Overview

KMK is a leading global data analytics and technology consulting firm, dedicated to empowering leaders in the Life Sciences sector with data-driven insights for improved decision-making. Our cutting-edge data analytics and software platforms cater to diverse needs, including data science, commercial operations, real-world evidence, and cloud information management. We enhance business strategies and operations through advanced analytics, extensive data sources, and deep technical and domain expertise. Our SalesOps™ platform drives commercial excellence by providing analytical guidance for sales planning and operations. We excel in data management using the latest cloud technologies and big data innovations.

With over 220 employees worldwide and a rapidly growing client base that includes several top 10 global Life Sciences companies, KMK offers high-touch on-site and onshore services supported by a global delivery platform.

Position Overview

We are seeking an Associate Director of Sales Operations & Incentive Compensation to drive strategic insights on incentive compensation, targeting, and alignment. This role will be pivotal in business development, focusing on expanding existing business and acquiring new clients. The successful candidate will facilitate data-driven decisions to support revenue and profit growth.

Job Title : Technical Architect – Data Platform & Analytics (Life Sciences)

Reports To: Senior Director, Data Management & Analytics

Employment Type: Full-time

Workplace Type: Remote

Timing: Upto 11 pm IST (Overlap with PST)

The Celito Team

The Celito Team architects the buildout of simplified, integrated, and compliant technology stacks. With both consulting and products, our expertise can help our customers save time and money as they move from strategic Clinical & Quality management all the way to widespread and profitable commercialisation.

Job Overview

The Senior Data & Analytics Engineer / Technical Lead will serve as a key technical contributor for designing, implementing, and supporting scalable enterprise data and analytics solutions across AWS and/or Azure ecosystems. This role is responsible for leading hands-on engineering activities across modern cloud-native data platforms, including data ingestion, transformation, orchestration, reporting, and production support functions using technologies such as Databricks, Snowflake, SQL, Python, and PySpark. The individual will collaborate closely with architects, business stakeholders, analysts, and engineering teams to deliver scalable, maintainable, and analytics-ready so

Position: Assistant Professor – Data Analytics / Business Analytics

Department: Management

Vacancy: 1

Location: Barasat, West Bengal

We’re Hiring | Assistant Professor – Data Analytics / Business Analytics for our Management Department

Are you passionate about teaching Data & Business Analytics and shaping the next generation of future managers?

Brainware University is looking for dynamic academic professionals to join our Management Department with expertise in Data Analytics / Business Analytics .

Eligibility Criteria

• MCA / M.Tech with minimum 55% marks
• Either NET / SET qualified or PhD is mandatory
• Ph.D. in Computer Applications/ IT/ Computer Science and Engineering
• MBA degree along with MCA/M.Tech will be considered an added advantage

Technical Skills Required

• Python programming
• Advanced Excel & MS Office tools
• Database Management Systems
• Exposure to business applications of analytics
  

  Brainware University

  

  Today