Analyze large volumes of complex data to tell actionable stories.
Define and monitor KPIs with emphasis on experimentation.
Build dashboards and self-service tools for non-analysts.
Develop and maintain dashboards and reports for accuracy.
Forecast operational scenarios with analytical models.
Collaborate with cross-functional teams to gather requirements and track metrics.

🎯 Requirements

2–4 years of Data Analytics experience with end-to-end ownership.
Strong Python, SQL, and MS Excel; MongoDB a plus.
BI/visualization tools experience (Metabase/Tableau).
Strong analytical and quantitative skills; identify trends.
Experience creating interactive dashboards and visuals.
Well-organized; able to manage multiple projects.

🎁 Benefits

Medical coverage
24/7 employee assistance program
Generous vacation with year-end shutdown
Flexible hybrid work (3 days in office)
Role-specific training and learning stipend
Company-wide events and team bonding

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