- Define and set up eCommerce KPIs across the customer journey (traffic, conversion, retention, basket size, etc.

- Work with marketing, merchandising, operations, and technology teams to establish data tracking and reporting needs.

- Help build dashboards and reports to monitor site performance, category performance, and marketing ROI.

- Identify trends, opportunities, and root causes of underperformance in areas such as product availability, pricing and promotions, checkout funnel performance, customer retention, and channel acquisition effectiveness.

- Help set up cohort analysis, customer segmentation, and funnel analytics.

- Partner with the eCommerce and data engineering teams to ensure data quality and availability from digital channels.

- Propose data-driven experiments and quick-win ideas to accelerate growth.

- Guide and support business teams in understanding and interpreting digital KPIs.

Requirements :

- 7-9 years of experience in eCommerce analytics, preferably in a grocery retail setup.

- Strong knowledge of eCommerce KPIs and analytics frameworks (traffic, conversion, repeat rate, LTV).

- Proficient with tools such as Google Analytics / GA4, Excel, SQL, Power BI, or Tableau.

- Experience working with digital marketing data, CRM data, and product performance data.

- Ability to translate business questions into data analysis and present clear insights.

- Familiarity with customer journey mapping, funnel conversion, basket analysis, and retention metrics.

- Comfortable working in fast-paced, ambiguous, and build-from-scratch environments.

- Strong communication and stakeholder management skills with the ability to work across functions.

- Strong proficiency in one programming language such as SQL or PySpark