2–5 years turning raw data into business insights - building dashboards, running deep-dive analyses, and partnering directly with business stakeholders.
Expert in SQL, at least one BI tool (Power BI, Tableau, or Looker), and Excel/Sheets at an advanced level; working knowledge of Python or R for ad-hoc analysis, statistics fundamentals (A/B tests, cohort analysis, significance testing), and data storytelling.
B.Tech / B.E. / BBA / MBA / Statistics / Economics degree; strong business acumen and the ability to translate ambiguous business questions into structured analyses valued more than credentials alone.
Retail, e-commerce, or consumer-tech experience strongly preferred.
Responsibilities
Expert in SQL, at least one BI tool (Power BI, Tableau, or Looker), and Excel/Sheets at an advanced level; working knowledge of Python or R for ad-hoc analysis, statistics fundamentals (A/B tests, cohort analysis, significance testing), and data storytelling.
Retail, e-commerce, or consumer-tech experience strongly preferred.
Qualifications
B.Tech / B.E. / BBA / MBA / Statistics / Economics degree; strong business acumen and the ability to translate ambiguous business questions into structured analyses valued more than credentials alone.
Experience
2–5 years turning raw data into business insights - building dashboards, running deep-dive analyses, and partnering directly with business stakeholders.
