Power BI Jobs in Chennai.
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Critically, this role sits at the intersection of data, AI, and people. The ideal candidate will be as comfortable enabling a frontline sales rep to understand and act on a dashboard as they are presenting strategic insight to a C-suite audience. They will also be a confident and curious adopter of large language model (LLM) tools — using AI to accelerate their own analytical workflow and helping the wider business do the same.
Key Responsibilities
- Business Analysis & Stakeholder Partnership
- Act as the primary analytics partner to senior commercial stakeholders across Sales, Marketing, Customer Success, and Revenue Operations.
- Apply strong business analysis discipline — translating ambiguous business questions into well-scoped requirements, clear success criteria, and structured analytical briefs before any build begins.
- Proactively surface insights, trends, risks, and opportunities that inform decision-making at leadership level.
- Support strategic initiatives such as CRM consolidation, demand intelligence optimization, territory and book-of-business changes, and forecasting improvements.
- Own end-to-end project management of analytics deliverables — from requirements gathering and prioritization through to delivery, adoption, and iteration — ensuring stakeholders are informed and timelines are met
- Communication, Enablement & Influence
- Demonstrate exceptionally strong communication skills across all levels of the organisation — from crafting executive narratives for senior leadership forums to running hands-on enablement sessions for managers and frontline sales representatives.
- Translate complex data, AI outputs, and analytical findings into plain-language stories that drive clarity, confidence, and action.
- Design and deliver enablement programmes that help managers and reps understand, trust, and act on dashboards, KPIs, and AI-generated insights — building genuine data literacy across the Revenue Organisation rather than dependency on the BI team.
- Champion clear, consistent communication of what metrics mean, how they are calculated, and why they matter — removing ambiguity at every level.
- Influence without authority; build credibility with senior stakeholders through the quality of insight and the integrity of the underlying data.
- Analytics, Reporting & Insight
- Own the design and delivery of executive-level dashboards and self-service reporting, primarily using Power BI.
- Ensure consistent definitions and calculations for revenue KPIs, North Star metrics, and commercial performance indicators.
- Conduct deep-dive analyses to diagnose performance issues and recommend actionable next steps.
- Write and optimise advanced SQL queries to extract, transform, and validate data across our Databricks data warehouse and connected source systems.
- Leverage Databricks as the central analytical platform — working within notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.
- AI & LLM Integration
- Be a power user and internal advocate of LLM-based tools, including Microsoft Copilot and Anthropic Claude (including Claude Code), using them to accelerate analysis, generate and review SQL, draft communications, and surface insight more efficiently.
- Help define and create LLM agents for the Go To Market organisation – connecting context to frontline AI tools such as MS Copilot and Salesloft.
- Proactively identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes — raising the ceiling of what the team can deliver.
- Work with the Senior Manager of BI to evaluate and scale AI-assisted analytics approaches across the team, including the use of Databricks' native LLM and AI capabilities.
- Help commercial stakeholders and frontline teams understand and appropriately trust AI-generated outputs — building confidence in AI tools through clear explanation, demonstration, and enablement.
- Data Modelling & Quality
- Partner with Data Analytics Engineers to define analytical data models that support revenue, pipeline, customer lifecycle, and performance reporting.
- Validate data accuracy and integrity across the analytics layer, proactively identifying and resolving issues before they impact decision-making.
- Contribute to data governance standards, metric documentation, and reporting best practices.
- Technology & Tooling Context
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- The Lead Business Analyst will work within a modern BI and revenue intelligence stack, including:
- Layer Tools
- Data Warehouse & Analytics Databricks (central data warehouse with LLM capabilities)
- BI & Visualisation Power BI
- AI & LLM Tooling Microsoft Copilot, Anthropic Claude, Claude Code, Databrick Genie, Databricks hosted LLM models
- Core Commercial Systems Salesforce (multiple instance), PlanHat, &
- Revenue & Demand
- Intelligence Clay
- Sales Enablement &
- Engagement Salesloft (including AI and conversational intelligence) & HighSpot
- A strong understanding of how these systems connect — and how data flows end-to-end from source systems to executive dashboards and frontline tools — is essential.
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- Required Experience & Skills
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- 8+ years of experience in a Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
- Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
- Advanced SQL skills — comfortable writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment; Databricks experience strongly preferred.
- Strong business analysis capability — proven ability to scope, structure, and document analytical requirements with rigour before moving into delivery.
- Proven project management skills — able to manage multiple concurrent workstreams, set and meet deadlines, and maintain clear stakeholder communication throughout.
- Exceptionally strong communication skills — a natural and compelling communicator in written and verbal form, equally effective presenting strategy to a VP as running a training session for a team of account executives.
- Demonstrated experience designing and delivering stakeholder enablement on data, dashboards, or analytics tooling — not just building outputs, but ensuring they are understood and adopted.
- Proven experience delivering executive-ready dashboards and self-service reporting (Power BI preferred).
- Strong commercial and revenue-focused business acumen.
- Active and confident user of LLM tools such as Microsoft Copilot or Anthropic Claude in a professional analytical context.
- Preferred Experience
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- Hands-on experience with Databricks — including SQL warehouses, notebooks, and the Lakehouse architecture.
- Experience using Claude Code or similar AI coding assistants to accelerate SQL development, data validation, or analytical scripting.
- Familiarity with CRM and GTM analytics — Salesforce, pipeline reporting, forecasting, MEDDPICC, territory models.
- Hands-on Experience with Clay
- Ideally experience with Python (e.g. connecting to APIs)
- Exposure to building or scaling data literacy programmes within a commercial organisation.
- What Success Looks Like
- Leaders trust the dashboards and insights/recommendations produced and use them to run the business with confidence.
- Managers and frontline reps understand and act on data, insights, and AI outputs — because this role has invested in enabling them, not just building for them.
- KPIs and metrics are clearly defined, consistently applied, and widely adopted across the organisation.
- LLM and AI tools are meaningfully embedded into BI workflows, improving speed, quality, and reach of analytical output.
- The BI team is seen as a strategic partner — not just a reporting function.
- Data quality issues are proactively identified and resolved before impacting decision-making.
- Projects are delivered on time, with clear communication and minimal surprises for stakeholders.
Ready to apply?
Apply to Cision
WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
We are looking for a Data Analyst to support in the continued development of WPP’s client operations analytics team, using business intelligence tools and visualisations to share with WPP HQ and the wider WPP network.
What you'll be doing:
Reporting into the Director of Data Operations, this role will work in several capacities including analysing data, creating technical solutions, assessing business issues, rolling out a software solution and building internal client relationships. In this role you will help to bring insights directly to the business, enabling senior stakeholders to make informed data driven decisions on a daily basis.
The role will be as follows:
- Support our ETL (Extract, Transform & Load) process for all current & future data feeds
- Work with all existing agencies data feeds to identify & resolve any validation concerns
- Create and/or manage WPP’s master data tables
- Assist with new agency/country implementation programmes
- Filter and “clean” data by reviewing validation reports and performance indicators to locate and correct code & data process problems
- Provide ad hoc analysis to key client stakeholders
Who you'll be working with:
You’ll be working closely with all of the Data & Insights team which currently consists of 13 people (8 based in UK, 2 based in Madrid & 3 based in India) who are nice group of individuals and are a close working team that all get on well, and who are looking forward to what this team could achieve in the future.
You will also be working closely with the Data Manager, EVP of Marketing & Growth Operations, other stakeholders from WPP Operating Companies.
We've adopted a hybrid working approach to give more flexibility on where and how we work. Normally we work together in our amazing office twice a week.
This role reports to the Director of Data Operations within the Enterprise Data Group team.
What you'll need:
- Strong analytical and problem-solving skills
- Proficiency in SQL and Python (pandas, PySpark) for data analysis
- Hands-on experience with Databricks or a comparable cloud platform (Snowflake, BigQuery)
- Familiarity with modern data formats (CSV, JSON, Parquet, Delta)
- Attention to detail and a willingness to learn new tools
- Fundamental understanding of REST APIs is desirable, but not mandatory
- Exposure to AI-assisted analytics workflows (e.g. Claude, Copilot, Genie) is a plus
Who you are:
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.
Ready to apply?
Apply to WPP
WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
WPP Media is embarking on a transformative data journey through Databridge—our internal comprehensive data strategy and framework designed to unify our fragmented global data landscape. We are moving from isolated, market-specific implementations to a standardized, scalable, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlthub), and GitHub Actions.
As Data Operations Lead, you will establish and head our new Data Integration & Operations team in Chennai. This is a build-and-run role: you'll define how the team operates while leading day-to-day delivery of operational excellence across global data products.
You will be the custodian of production—owning the operational layer including CI/CD automation, deployment pipelines, monitoring, data quality enforcement, incident management, and support. This role requires deep technical knowledge of Databricks and modern data platforms, alongside the ability to lead, mentor, and scale a growing team.
What you'll be doing:
Technical Ownership & Execution
- Lead the team responsible for data integration, orchestration, and platform operations across Azure and GCP environments
- Build and maintain automated CI/CD pipelines using GitHub Actions and Databricks Asset Bundles for data workflows
- Design platform-wide monitoring, logging, and alerting covering pipeline execution, data quality, SLA compliance, and cost
- Manage production deployments and own centralized job orchestration via Databricks Jobs/Workflows (scheduling, dependencies, retries, notifications)
- Implement comprehensive data quality testing and validation using dbt's testing framework and custom checks
Operational Standardization
- Create and roll out standard operating procedures, runbooks, onboarding guides, and automation patterns
- Establish reusable deployment frameworks and project templates for consistent implementation across markets
- Build and maintain the Central Data Solution Repository with reusable assets (dlthub pipelines, dbt models, tests, macros)
- Define repeatable deployment patterns ensuring standards and best practices are followed globally
Platform Support & Governance
- Set up and manage SLAs, incident workflows, and escalation models
- Proactively identify and resolve operational risks in cloud-based data platforms
- Partner with DevOps to leverage Databricks Unity Catalog for governance, access control, and lineage
- Enforce data quality standards and governance policies embedded within pipeline code
Team Leadership
- Lead and mentor the Data Integration & Operations team in Chennai
- Shape the team's operating model, priorities, and capabilities
- Act as subject matter expert and escalation point for technical operations
- Facilitate regular retrospectives to drive continuous improvement and optimize processes
- Collaborate with Data Engineering, DevOps, and Product teams globally
What you'll need:
Experience
- 7+ years in data operations, platform engineering, or data engineering with hands-on production experience
- 3+ years in technical leadership or team lead capacity, with proven ability to build and scale teams
- Demonstrated experience establishing DataOps practices and operational frameworks from the ground up
Technical Expertise
- Deep, hands-on experience with Databricks platform, specifically:
- Databricks SQL Warehouses, Unity Catalog, Jobs/Workflows
- Databricks Asset Bundles for Infrastructure as Code
- Delta Lake performance optimization
- Strong proficiency with dbt (Core): project structure, macros, tests, documentation, CI/CD integration, production troubleshooting
- Expert-level cloud platform knowledge (Azure and/or GCP):
- Object storage (ADLS/GCS), secret management (Key Vault/Secret Manager)
- Infrastructure as Code (Terraform)
- CI/CD mastery with GitHub Actions: workflow design, secrets management, automated testing and deployment
- Proficient in Python for automation and scripting (experience with dlthub is a major plus)
- Strong SQL skills for data validation, quality testing, and troubleshooting
Operational & Leadership Skills
- Proven ability to design operational frameworks: monitoring, alerting, incident management, SLA tracking
- Experience managing production data platforms with high uptime requirements
- Excellent communication skills with ability to articulate technical concepts to diverse audiences
- Strong documentation skills and commitment to knowledge sharing
-
Preferred Skills
- Experience working in multi-cloud environments (Azure + GCP)
- Familiarity with Power BI or similar BI platforms
- Understanding of FinOps practices for cloud cost optimization
Who Should Apply
This role is ideal for candidates with:
- Real, hands-on project experience building and running production data platforms at scale
- Proven leadership in establishing DataOps practices and growing high-performing teams
- Deep technical expertise in the Databricks ecosystem and modern data stack
- Entrepreneurial mindset—comfortable with ambiguity and building systems from the ground up
This role is not a fit if your experience is primarily theoretical, course-based, or lacks production-grade exposure to the core technologies outlined above.
Who you are:
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.
Ready to apply?
Apply to WPP