Lead Business Intelligence Analyst

Ambition Hunt; Bengaluru; Presencial; INR 2 500 000 - 4 200 000; Tempo integral

Resumo da oferta

Ambition Hunt seeks a Team Leader of Business Intelligence & Analytics to guide a team of 5–6 analysts, delivering dashboards and actionable insights for Retail and CPG operations.

The role combines people leadership, delivery governance and hands-on technical oversight, translating commercial priorities into an analytics roadmap and ensuring KPI definitions, data quality and timely reporting.

Qualificações

• Bachelor’s or master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, CS, Engineering, Economics or related.

Responsabilidades

• Lead, coach and develop a team of 5–6 Analysts and Senior Analysts, setting goals and reviewing delivery quality.
• Own the analytics delivery portfolio including prioritisation, timelines, risks and stakeholder communication.
• Partner with business leaders to translate 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, pricing, promotions, inventory and supply chain.
• Define and govern KPI frameworks, metric definitions, datasets and reporting standards.
• Oversee the design and delivery of Power BI dashboards, executive scorecards and self-service analytics.

Conhecimentos

People leadership

Analytics leadership

Power BI

SQL

Python

Databricks

Alteryx

Data governance

Stakeholder management

Mentoring

Formação académica

Data Science/Analytics degree

Ferramentas

Power BI

SQL

Databricks

Alteryx

Python

Descrição da oferta de emprego

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 5-6 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 elevate 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 environment.
• Strong problem-solving, decision-making and escalation management.
• Commitment to data accuracy, governance, confidentiality and ethical use.
• Ownership, collaboration and a continuous-improvement mindset.Role & responsibilities