Data Analyst/Data Scientist: E-commerce (Mandatory)

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 - 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.g., 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.g., GTM, event tagging).

Location: