2–6 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze business data—especially for merchandising decisions—to support operational and strategic choices.
- Prepare scenario analyses; build and maintain performance reports, dashboards, and basic models; validate data and analytical outputs.
- Work with senior analysts, stakeholders, and data engineering teams to query large datasets, support pipelines, and communicate documented findings.
Minimum Requirements
- Work Experience Required: 2–6 years overall and 1–3 years of relevant experience.
- Education: TI: B.Tech/B.E. or a Master’s in Statistics, Econometrics, Mathematics, or equivalent; US: Bachelor’s degree.
- Hands-on SQL, including joins, volatile tables, and basic query tuning; solid data warehouse/BI concepts; experience with at least one visualization tool such as Power BI, Looker, or Tableau.
- Working knowledge of structured and unstructured data, plus exposure to large-scale datasets and platforms/tools such as BigQuery, Spark, SQL warehouses, HDFS, or data pipelines.
Ideal Candidate Profile
- Has applied analytics skills such as regression, time-series modelling, or classification, and can develop analyses and models with appropriate guidance.
- Retail, merchandising, or marketing experience is a strong advantage; the role also spans other business domains.
- Can translate stakeholder questions into reliable analysis and clear findings, while documenting assumptions and following data governance and responsible AI guidelines.