Data Scientist - eCommerce Analytics

Description:

Role Summary:

We are seeking a hands-on eCommerce Analytics & Insights Lead to help establish and grow our newly launched eCommerce business.

This role requires a data-savvy individual with deep eCommerce knowledge who can help define, build, and monitor performance KPIs, provide actionable insights, and guide the business on data-driven decision making.

We are looking for someone who can get into the data, generate insights, help build dashboards, and work closely with cross-functional teams (buying, marketing, ops, tech) to guide the growth of our online channel.

Key Responsibilities:

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

- Work with marketing, merchandising, operations, and tech 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 & promotions

- Checkout funnel performance

- Customer retention

- Channel acquisition effectiveness

- Help set up cohort analysis, customer segmentation, and basic 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.

Required Skills & Experience :

- 2 to 5 years of experience in eCommerce analytics, preferably in a grocery retail setup.

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

- Proficient with working knowledge 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, etc.

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

- Strong communication and stakeholder management skills able to work across functions.

- Strong in one of the programming languages SQL/ Pyspark

Good to Have :

- Experience with eCommerce platforms (e.

, Shopify, Magento, Salesforce Commerce).

- Exposure to A/B testing, product recommendation analytics, or personalization logic.

- Knowledge of Python/R for deeper analysis (optional).

- Experience in setting up tracking infrastructure (e., GTM, event tagging)