Job Title: DS L1
Reports to: Head of Analytics / VP
Exp: L1-5+ yrs
Location: Bangalore
Main Purpose of Job (Why the Job exists / What it must achieve) |
We are seeking a Senior Retail Analytics & Insights Lead to own the analytics function for our Retail business. This is a strategic and hands-on role requiring deep expertise in Retail data, the ability to build and govern analytics infrastructure, lead a small team, and drive data-driven growth decisions at a leadership level. You will work directly with business heads across buying, marketing, operations, and technology to shape the digital strategy through data. You are expected to go beyond reporting - proactively identifying opportunities, designing experiments, and influencing business outcomes. |
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MOP (Measurable parameters of the role) & Dimensions (Span of the role) |
Staff Reporting: 2-3 Direct Reports: 2-3 |
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Main Responsibility / Job Summary
(Primary deliverables of role and its scope)
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- Own and define the end-to-end Retail analytics strategy - from KPI framework design to insight delivery.
- Lead the build and governance of dashboards and performance reporting across site, category, marketing, and operations.
- Drive cohort analysis, customer segmentation, LTV modelling, and advanced funnel analytics.
- Partner with data engineering teams to architect data pipelines and ensure data quality from all digital touchpoints.
- Manage and mentor junior analysts, setting quality standards and reviewing analytical outputs.
- Design and oversee A/B tests, experiments, and quick-win initiatives to drive conversion and retention.
- Present insights and strategic recommendations to senior leadership and cross-functional stakeholders.
- Establish and govern data tracking infrastructure across all digital channels in collaboration with tech teams.
- Exposure of working on promo analytics, pricing analytics, and merchandising analytics in retail domain.
- Identify root causes of underperformance across product availability, pricing, promotions, and customer retention.
- Define the data roadmap for the Retail analytics function and prioritize initiatives based on business impact.
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Level |
Level 1 | 5+ Years Experience | Senior / Lead |
Skills & Knowledge Requirements (Abilities/knowledge & Expertise in field) |
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Knowledge (Technical/Functional)
- Expert-level understanding of Retail/eCommerce KPI frameworks - traffic, conversion, retention, basket size, LTV.
- Deep knowledge of promo analytics, pricing analytics, and merchandising analytics in a retail or grocery context.
- Strong understanding of data warehouse architecture and retail data sources (POS, CRM, digital platforms).
- Understanding of statistical experimentation - A/B testing, hypothesis testing, and significance testing.
- Familiarity with cloud data platforms such as Azure Databricks or BigQuery.
- Knowledge of tracking infrastructure tools (GTM, event tagging, pixel setup).
Skills:
- 5+ years of experience in Retail Analytics / Merchandising, ideally in a grocery or retail context.
- Advanced proficiency in SQL and at least one scripting language (Python or PySpark) for complex data analysis.
- Proven ability to lead and mentor a team of analysts and manage cross-functional stakeholders.
- Experience architecting data tracking and reporting infrastructure from scratch in fast-scaling environments.
- Deep experience with analytics and BI tools - Power BI or Tableau - for enterprise-level reporting.
- Excellent communication and storytelling skills - able to influence senior leadership with data-backed narratives.
- Comfortable working in ambiguous, build-from-scratch environments and setting direction without a playbook.
Good to Have:
- Exposure to recommendation engines, personalization analytics, or product affinity modelling.
- Experience with Python/R for statistical modelling or machine learning in a retail context.
- Familiarity with Jira or any other work management tool.
- Ability to develop automations and productivity improvements in analytical solutions.
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Qualifications
- B.Tech / B.Sc in Statistics, Mathematics, Computer Science or related field
- MBA (Analytics / Business) is strongly preferred
Experience
- 5+ Years in Retail / Merchandising Analytics
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Employment Type: FULL_TIME
