About the role
Roles and Responsibilities:
Job Title: Domain Data Analyst – Retail
Experience: 7–10 Years
Location: Bengaluru
Role Overview
We are looking for a seasoned Domain Data Analyst with deep expertise in the Retail industry to drive data-driven decision-making across business functions. The role requires a strong blend of analytical capabilities and retail domain understanding to generate actionable insights, improve business performance, and support strategic initiatives.
Key Responsibilities
Business & Domain Understanding
- Partner with retail business teams (Merchandising, Supply Chain, Store Operations, E-commerce) to understand key challenges and objectives
- Translate business problems into data-driven analytical frameworks
- Provide domain-led insights aligned with retail KPIs and business priorities
Data Analysis & Insights
- Analyze large datasets to identify trends, patterns, and opportunities across sales, inventory, pricing, and customer behavior
- Perform root cause analysis for business issues such as declining sales, stockouts, or margin leakage
- Deliver actionable recommendations to improve revenue, margins, and operational efficiency
Reporting & Visualization
- Design and develop dashboards and reports for business stakeholders
- Track and monitor key retail metrics such as:
- Sales, footfall, conversion rates
- Inventory turnover, stock availability
- Basket size, customer lifetime value
- Ensure timely and accurate reporting to support decision-making
Advanced Analytics & Use Cases
- Support demand forecasting, assortment planning, and pricing optimization initiatives
- Drive customer segmentation and personalization strategies
- Collaborate with data science teams on AI/ML use cases
Stakeholder Management
- Act as a bridge between business, technology, and analytics teams
- Present insights and recommendations to senior leadership
- Influence decision-making through data-backed storytelling
Data Governance & Quality
- Ensure data accuracy, consistency, and reliability across systems
- Work with engineering teams to improve data pipelines and availability
Key Skills & Competencies
Strong proficiency in:
- SQL, Excel
- Data visualization tools (Power BI, Tableau)
- Working knowledge of Python/R (preferred)
- Experience working with large datasets and data warehouses
Domain Expertise (Retail)
- Strong understanding of:
- Retail operations (store & online)
- Merchandising & assortment planning
- Supply chain & inventory management
- Pricing and promotions
Analytical & Business Skills
- Strong problem-solving and analytical thinking
- Ability to derive insights and link them to business outcomes
- Data storytelling and presentation skills
Soft Skills
- Stakeholder management and communication
- Ability to work in cross-functional teams
- Proactive and solution-oriented mindset
Preferred Qualifications
- Experience in omnichannel retail environments
- Exposure to advanced analytics / AI-driven retail use cases
- Prior experience working with global retail clients or organizations
Education
- Bachelor’s/master’s degree in engineering, Statistics, Economics, or related field