Description

Job Description
Key Responsibilities:

• Analyse large datasets to identify trends, patterns, and business opportunities.
• Conduct deep dives on user behavior, conversion funnels, retention, and monetization.
• Provide actionable recommendations to improve key metrics (e.g. GMV, AOV, churn, CAC, ROAS).
• Build, automate, and maintain dashboards and reports using tools like Tableau, Power BI.
• Monitor performance against goals and proactively flag issues or opportunities.
• Work closely with Product, Marketing, and Commercial teams to support initiatives with data.
• Track and analyze marketing and growth performance across channels, funnels, and customer segments to drive acquisition, retention, and ROI
• Translate business questions into analytical problems and communicate results clearly.
• Support A/B tests and experimentation with rigorous data analysis.
• Contribute to cohort, retention, and attribution models to improve decision-making.
• Validate and clean data, troubleshoot inconsistencies, and maintain data accuracy.

Requirements

Required Qualifications:
• 3-5 years of experience in Business Intelligence or Data Analytics, preferably in eCommerce or digital business.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Proficiency in SQL (Fabric, BigQuery, Azure, Snowflake, or similar).
• Strong Excel/Google Sheets skills for quick analysis and modelling.
• Solid understanding of key eCommerce metrics and business models
• Strong analytical thinking, attention to detail, and business acumen.
• Excellent communication skills, capable of simplifying complex findings.
• Experience working with marketing data (GA360, Adjust, Funnel) is a strong plus.