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.

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• 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)
  

(ref:hirist.tech)