Main Duties:
- Partner with business stakeholders to understand goals and translate them into analytical frameworks.
- Identify Patterns and opportunities in user behavior, sales performance, and operational efficiency.
- Conduct cohort analysis, user segmentation, funnel analysis, and retention modeling.
- Automate recurring reports for stakeholders using tools like Power BI, Tableau, or Looker.
- Automate reports to provide real-time, actionable insights for decision-makers.
- Build predictive models (e.g., churn, recommendation systems, demand forecasting).
- Integrate data from the web, mobile apps, CRM, ticketing engines, and e-commerce systems.
- Work closely with Product Managers and Marketing teams to evaluate campaign ROI and product feature success.
Requirements:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- 4+ years of experience in a data analyst or business intelligence role (preferably in e-commerce or consumer platforms).
- Advanced SQL skills; hands-on experience with large-scale databases (e.g., BigQuery, Redshift, Snowflake).
- Strong skills in data visualization tools (Power BI, Tableau, or Looker).
- Proficiency in Python or R for statistical analysis and modeling.
- Deep understanding of digital metrics (conversion, CAC, LTV, retention, NPS).
- Experience working with Google Analytics, GTM, and A/B testing platforms is a plus.
- Excellent communication skills — able to translate data into action and collaborate across functions.