Data Scientist – Retail Analytics (Junior to Lead | 1–8+ Years)
A leading Retail Analytics firm Recruitment Partner: Episeio Business Solutions Location: Bangalore, India (Work from Office) Job Type: Full-Time Department: Analytics / Data Science Industry: Retail Analytics Consulting
About the Role
Episeio Business Solutions is hiring Data Scientists / Retail Analytics professionals at multiple levels — from Junior Associate to Lead — on behalf of our client, a growing Retail Analytics practice. If you love working with retail data (sales, pricing, promotions, merchandising, and customer behaviour) and turning it into decisions that move the business, we want to hear from you.
Retail analytics experience is mandatory for all levels. We are not looking for generalist data scientists — we need people who understand retail/eCommerce KPIs (traffic, conversion, basket size, retention, LTV) and have worked with retail data sources like POS, CRM, or digital platforms.
We're hiring across three levels simultaneously, so whether you're just starting out or you're ready to lead a team, there's a role for you. Please apply and mention your relevant experience — we'll match you to the right level.
Open Levels — Find Your FitLevelTitleExperienceRole TypeL1 – Senior/LeadLead Data Scientist / Senior Retail Analytics & Insights Lead5+ yearsTeam lead, owns analytics functionL2 – Mid-LevelSenior Data Scientist / Retail Analytics Professional2–3 yearsIndividual contributorL3 – JuniorData Scientist / Junior Retail Analytics Associate1–2 years (freshers with strong internships considered)Support & learning roleWhat You'll Do
Responsibilities scale with the level you're hired at:
At every level, you will:
- Work with retail data — sales, category performance, pricing, promotions, and customer metrics
- Write SQL queries to extract, validate, and analyze retail data
- Build or contribute to dashboards and reports (Power BI / Tableau / Excel)
- Support cohort analysis and customer segmentation
- Help translate business questions into data-driven answers for stakeholders
As you move up the levels, you'll take on:
- Independent ownership of analyses on promo effectiveness, pricing impact, and merchandising performance (Mid-Level)
- End-to-end ownership of the retail analytics strategy, KPI frameworks, dashboards governance, A/B testing, and mentoring of junior analysts (Senior/Lead)
- Direct collaboration with business heads across buying, marketing, operations, and technology, and architecting data tracking infrastructure (Senior/Lead)
What We're Looking For (Must-Haves)
- Retail, eCommerce, or FMCG analytics experience is required — this is non-negotiable across all levels
- Working knowledge of retail KPI frameworks: sales, basket size, conversion, retention, LTV
- SQL proficiency (junior: basic queries and joins → senior: advanced/complex queries)
- Familiarity with retail data sources: POS, CRM, digital/eCommerce platforms
- Comfort working with at least one BI tool (Power BI or Tableau) or strong Excel skills
- Good communication skills — able to translate data into clear insights for business teams
- B.Tech / B.Sc in Statistics, Mathematics, Computer Science, or a related field (MBA in Analytics/Marketing is a plus, especially for senior roles)
Good to Have (Any Level)
- Python or PySpark for data manipulation or statistical modelling
- Exposure to cloud data platforms (Azure Databricks, BigQuery)
- Understanding of A/B testing and statistical experimentation
- Experience with customer segmentation, RFM analysis, or product affinity/personalization modelling
- Familiarity with Jira or other project management tools
(Additional experience with promo, pricing, and merchandising analytics, and experience mentoring analysts or building data infrastructure from scratch, is expected for Senior/Lead applicants.)
Why Join Us
- Work on real retail business problems with direct business impact — not just reporting
- Clear growth path from Junior Associate to Analytics Lead within the same practice
- Exposure across the full retail value chain: pricing, promotions, merchandising, and customer analytics
- Collaborative, fast-paced analytics consulting environment based in Bangalore
- Recruitment managed by Episeio Business Solutions on behalf of the hiring company
How to Apply
Apply with your updated resume and briefly mention:
- Your total years of experience in retail/eCommerce/FMCG analytics
- Tools you're proficient in (SQL, Python, Power BI/Tableau, Excel)
- Which level you believe best fits your experience (Junior / Mid-Level / Senior-Lead)
Pay: ₹800,000.00 - ₹1,800,000.00 per year
Work Location: In person
