Data Scientist

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.
  
  

• 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 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.
  
  

• Technical team: A team full of data scientists, data engineers, and business analysts who work with 1M+ data points every day.
• Market Size: Massive multi-billion-dollar $ global market opportunity.
• Leadership: Combined experience of 40+ years in the industry.
• Customers: Word-of-mouth and referral-driven marketing to acquire customers like big retail brands in GCC regions, like Lulu, GMG, among others (Strong product-market fit).
• What makes us stand apart: 10 a 10-year-old bootstrapped and 100+ people company that is still hiring.
  
  

• 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).