Role Overview The Team Leader Business Intelligence & Analytics will lead a team of 5-6 Business Analysts and Senior Analysts delivering business analysis, reporting, dashboards and advanced analytics for Retail and Consumer Packaged Goods operations. The role combines people leadership, delivery governance, stakeholder management and hands-on technical oversight. The incumbent will translate commercial priorities into a structured analytics roadmap, ensure consistent KPI definitions and data quality, and deliver actionable insights across sales, merchandising, pricing, promotions, customer, inventory and supply-chain functions.

Key Responsibilities

- Lead, coach and develop a team of 56 Business Analysts and Senior Analysts, setting clear goals, allocating work and reviewing delivery quality.
- Own the analytics delivery portfolio, including demand intake, prioritisation, resource planning, timelines, risks, dependencies and stakeholder communication.
- Partner with business leaders to translate strategic and operational questions into analytical workstreams, KPIs, dashboards and measurable recommendations.
- Provide hands-on technical direction and conduct solution, code, query, data-model and dashboard reviews.
- Drive analytics across Retail and CPG areas including sales, assortment, pricing, promotions, customer behaviour, loyalty, store or channel performance, inventory, demand forecasting and supply chain.
- Define and govern KPI frameworks, metric definitions, reusable datasets and reporting standards across functions.
- Oversee the design and delivery of scalable Power BI dashboards, executive scorecards and self-service analytics solutions.
- Guide the development and optimisation of SQL queries, Python solutions, Databricks pipelines and Alteryx workflows.
- Ensure accuracy, reconciliation, lineage, access control, documentation and timely refresh of business-critical data products.
- Present insights, business cases and recommendations to senior management using clear and compelling data storytelling.
- Establish delivery standards, review mechanisms, reusable templates and best practices for analysis, visualisation and documentation.
- Monitor team capacity, service levels and delivery metrics; remove blockers and escalate risks when required.
- Build team capability through mentoring,



knowledge sharing, training plans and succession development.
- Collaborate with data engineering, IT, finance, sales, marketing, merchandising and supply-chain teams to improve data availability and adoption.
- Identify opportunities to automate manual reporting, improve platform performance and reduce compute or processing costs.
- Promote a culture of ownership, collaboration, continuous improvement and data-driven decision-making.

Qualifications and Experience

- Bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Business Analytics, Economics or a related field.
- 8+ years of experience in business intelligence, analytics, business analysis, data analytics or decision support.
- Proven experience leading, mentoring and managing a team of Business Analysts and Senior Analysts.
- Demonstrated ownership of multiple analytics projects, stakeholder expectations and delivery priorities.
- Strong experience working with large, multi-source datasets, enterprise reporting environments and data-quality controls.
- Significant Retail and CPG experience is required, with an understanding of commercial, customer, merchandising, pricing, promotion, inventory and supply-chain metrics.

Technical Skills

- SQL: Advanced querying, joins, CTEs, window functions, stored procedures, data validation and performance optimisation.
- Python: Strong working knowledge of pandas, data preparation, automation, reusable analysis and analytical scripting.
- Power BI: Data modelling, DAX, Power Query, semantic models, row-level security, deployment, refresh management and performance tuning.
- Databricks: Databricks SQL, notebooks, Spark SQL, PySpark, Delta Lake, workflows, job monitoring, data pipelines and compute optimisation.
- Alteryx: Workflow design, data blending, transformation, macros, scheduling, automation and production support.




- Retail and CPG analytics: Sales, pricing, promotions, assortment, customer segmentation, loyalty, store or channel performance, inventory, forecasting and supply-chain analysis.
- Data practices: ETL concepts, dimensional modelling, KPI governance, data quality, lineage, security, documentation and release controls.
- Delivery practices: Agile ways of working, backlog management, estimation, prioritisation, risk management and stakeholder reporting.

Core Competencies

- People leadership, coaching and performance enablement.
- Strong business acumen with deep Retail and CPG domain understanding.
- Strategic thinking combined with hands-on analytical and technical judgment.
- Excellent stakeholder management, negotiation and executive communication skills.
- Ability to prioritise competing demands and deliver through a team in a fast-paced workplace.
- Strong problem-solving, decision-making and escalation management.
- Commitment to data accuracy, governance, confidentiality and ethical use.
- Ownership, collaboration and a continuous-improvement mindset.

Key Success Measures

- Timely, accurate and high-quality delivery of the analytics portfolio.
- Stakeholder satisfaction and measurable business impact of recommendations.
- Adoption and reliability of dashboards, standard KPIs and self-service analytics.
- Improvement in team capability, productivity, engagement and delivery consistency.
- Reduction in manual reporting effort, data discrepancies and production incidents.
- Improvement in platform, query, workflow and refresh performance.
- Effective prioritisation, risk management and use of team capacity.

Employment Details Job Title: Team Leader – Business Intelligence & Analytics

Experience: 8+ years

Team Size: 5–6 Business Analysts and Senior Analysts

Employment Type: Full-time

Location: Bangalore, Karnataka

Reporting To: Deliver Lead BI

How to Apply

Interested candidates may submit their updated rsum, along with a brief summary of relevant Retail or CPG analytics leadership experience, team size managed, key projects and measurable business outcomes, to [email protected].

Please mention “Application – Team Leader, Business Intelligence & Analytics” in the subject line.

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