Job
Description
We are seeking a hands-on eCommerce Analytics and 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. 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 and 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. Requirements 3-5 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 of 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). This job was posted by Shone Joseph from Loyalytics AI. Show more Show less
