Find Your Dream Data Analytics Job in India

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.

Your potential, unleashed.

India's impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

Job description

We are looking for a Data Analytics with 3+ to design, build, and optimize analytics solutions on our Data Lakehouse platform. The ideal candidate brings strong BI expertise, hands on data engineering fundamentals, and the ability to collaborate closely with product and engineering teams in an agile environment.

Key Responsibilities

• Develop interactive dashboards and analytics solutions using AWS QuickSight.
• Build and optimize queries across PostgreSQL and Redshift.
• Design and maintain data models, ETL pipelines, and ensure performance tuning for large-scale data processing.
• Write clean, efficient code using SQL (expert-level), Python, and TypeScript.
• Translate requirements into prototypes, visual wireframes, reports, and analytical datasets.
• Collaborate with product, engineering, and business teams using Agile/Scrum methodologies.
• Contribute to software and data architecture discussions for scalable Lakehouse solutions.

Required Skills

• BI Tools: AWS QuickSight
• Databases: PostgreSQL , Redshift,
• Programming: SQL (expert), Python, TypeScript
• Data Engineering: Data modelling, ETL/ELT, pipeline design, performance tuning
• Product & Process: Wireframing, Agile, documentation, software architecture fundamentals

How you'll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world's most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone's welcome entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here's a glimpse of things that are in store for you.

Interview tips

We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you're applying to. Check out recruiting tips from Deloitte professionals.

Senior Data Analyst – Digital Products (AI & Advanced Analytics)

Location: Bengaluru, India (Local Candidates Preferred)

Role Type: Individual Contributor

Experience: 6–10 years

BrandSafway is a leading provider of specialty services to North America's energy markets. Its extensive portfolio of specialized industrial service offerings includes scaffolding, coatings, insulation, refractory, forming & shoring, cathodic protection, mechanical services and other related crafts. The company also serves the infrastructure and commercial markets throughout North America and in strategic international regions. Brand operates in five key market segments: Upstream/Midstream, Downstream, Power Generation, Industrial and Infrastructure.

Role Overview

The Senior Data Analyst – Digital Products will lead advanced analytics and AI initiatives in close partnership with Sales and Growth stakeholders . This role applies statistical modeling, machine learning, and generative AI to solve complex commercial problems and enable scalable, data-driven digital capabilities.

Key Responsibilities

• Own complex analytics and AI initiatives supporting Sales and Growth objectives
• Design, build, and deploy machine learning models (predictive, classification, optimization)
• Develop and apply Generative AI / LLM solutions for comme

This role combines deep domain expertise in Oil & Gas / Process industries with advanced analytics, AI/ML, and simulation skills to deliver high-impact solutions, optimize operations, and support business growth.

The candidate will play a hybrid role across delivery, consulting, and pre-sales, bridging engineering knowledge with data-driven insights.

Job Description – Process Engineering Consultant

Key Responsibilities:

AI, Analytics & Digital Solutions:

•Design and implement AI/ML, predictive analytics, and optimization solutions for industrial use cases

•Develop predictive maintenance, process optimization, and performance monitoring models

•Work with data platforms, data engineering pipelines, and MLOps frameworks

•Apply advanced analytics, including machine learning, GenAI, and AI agents, where relevant

•Integrate AI solutions with process simulation and real-time systems

Process Engineering and Simulation:

•Develop and deploy steady-state and dynamic simulation models for Oil & Gas, Refining, and Petrochemical processes

•Lead the development of process optimization, debottlenecking, and control studies

•Build and analyse models for equipment such as distillation columns, reactors, furnaces, heat exchangers, and rotating equipment

•Execute real-time optimization (RTO) process applications

•Strong underst

Why Mizuho

At Mizuho, we provide the stability of an international industry leader with the career trajectory of a growing business. Our steady, strategic growth gives our people at all levels rewarding degrees of responsibility and richer work experience than a boutique firm or an established giant could offer alone.

It’s the local expertise of our employees that makes our global network so powerful. By collaborating with colleagues and clients who have the same ambition and drive, you can amplify your sphere of influence and base of knowledge as part of one of the largest—and growing—banks in the world.

We are seeking an experienced and results‑driven Manager of Data Analytics L2 Support to lead a production support team responsible for the stability, reliability, and operational excellence of enterprise data analytics and business intelligence platforms. This role is accountable for overseeing Level 2 support operations, incident and problem management, and ensuring consistent service delivery across reporting, semantic models, and analytics solutions.

The manager will provide hands-on leadership and technical oversight to a team of L2 Support Engineers, ensuring effective monitoring of scheduled and batch workloads, timely resolution of production incidents, and adherence to defined SLAs. Acting as the primary escalation point for complex or high‑severity incidents, the role requires strong judgment in

How is this team contributing to vision of Providence?

The Integration & Cloud Infrastructure team plays a critical role in enabling Providence’s vision of delivering seamless, secure, and connected healthcare experiences. By ensuring the availability, performance, and reliability of our integration platforms—particularly Corepoint—the team ensures clinical data flows efficiently across systems, supports caregivers with timely insights, and enhances patient care outcomes.

This team accelerates cloud modernization, strengthens interoperability, and lays the technical foundation for scalable, next-generation digital healthcare solutions.

Required Skills & Qualifications

• 4–9 years of experience in Data Analytics / Data Engineering roles
• Strong hands-on experience with Snowflake, Data bricks, Power BI
• Advanced proficiency in SQL
• Experience with ETL/ELT tools and data integration frameworks
• Strong understanding of data warehousing concepts , dimensional modeling, and analytics design
• Knowledge of cloud platforms such as Azure
• Familiarity with Python or similar scripting languages is a plus
• Good problem-solving, analytical, and communication skills

Good to Have

• Snowflake certifications
• Experience with real-time or near-real-time data process

About Us:

Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with over 2,100 locations in more than 50 markets. The Group has over 160,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing.

The Group aims to “be the world’s most trusted financial group” through close collaboration among our operating companies and flexibly respond to all of the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York

stock exchanges.

MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning more than 50 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments and individuals worldwide.

In Asia, MUFG has a presence across 20 markets – Australia, Bangladesh, Cambodia, China, Hong Kong, Indonesia, India, South Korea, Laos, Malaysia, Mongolia, Myanmar, New Zealand, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand and Vietnam.

It has also formed strategic partnerships with some of the most prominent banks in Southeast Asia, further augmenting its unrivalled network across the region – Viet

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

Job description

We are looking for a Data Analytics with 3+ to design, build, and optimize analytics solutions on our Data Lakehouse platform. The ideal candidate brings strong BI expertise, hands on data engineering fundamentals, and the ability to collaborate closely with product and engineering teams in an agile environment.

Key Responsibilities

• Develop interactive dashboards and analytics solutions using AWS QuickSight.
• Build and optimize queries across PostgreSQL and Redshift .
• Design and maintain data models, ETL pipelines , and ensure performance tuning for large-scale data processing.
• Write clean, efficient code using SQL (expert-level), Python, and TypeScript .
• Translate requirements into prototypes, visual wireframes, reports, and anal

Please Note:- Looking candidates from Big4 Firm

Overall Business Strategy:-

• Formulation and execution of the company's long-term business strategy.
• Work closely with senior leadership to align the strategy with overall organizational goals.
• Identify market trends, competitive forces, and business opportunities to inform strategic decisions.
• Own the annual planning cycle, including financial forecasts, resource allocation, and strategic priorities.
• Collaborate with various departments (e.g., finance, marketing, operations) to ensure alignment of strategic initiatives with business goals.
• Develop actionable plans based on company-wide objectives and key performance indicators (KPIs).
• Facilitate the review and reporting of progress against annual plans and adjust strategies as needed.

Program Management:-

• Lead and manage cross-functional programs and initiatives, ensuring they are executed on time and within scope.
• Develop clear program roadmaps, timelines, and resource plans to track progress and milestones.
• Monitor and report on the performance of key programs, ensuring alignment with strategic goals.
• Address any programmatic challenges and mitigate risks in collaboration with relevant stakeholders.

Unstructured Problem Solving:-

• Tackle complex, ambiguous problems and devise inno

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 compon