We are looking for a Data Analyst - Commercial with 2-3 years of experience who combines strong analytical and statistical thinking with commercial acumen. The role will translate business questions into data-driven insights, identify performance drivers and opportunities, and support commercial teams in making better decisions across sales, sellers, customers, assortment, and revenue.
Key Responsibilities
Commercial Performance Analytics
- Analyze commercial KPIs including GMV, orders, buyers, conversion, AOV, revenue, margin, seller productivity, and assortment performance.
- Conduct deep-dive analysis to identify drivers behind growth, decline, and performance gaps.
- Track performance against targets, budgets, benchmarks, and historical trends.
- Identify opportunities to improve seller, category, campaign, and customer performance.
Statistical & Analytical Problem Solving
- Apply statistical concepts to investigate business problems, including trend analysis, correlation, segmentation, hypothesis testing, variance analysis, and regression where relevant.
- Distinguish between correlation and potential causation when interpreting business trends.
- Design analytical approaches to measure the impact of commercial initiatives, campaigns, pricing, incentives, or process changes.
- Build analytical models to forecast performance and identify potential risks or opportunities.
- Assess data quality, sample sizes, outliers, and statistical significance before drawing conclusions.
Business & Commercial Insights
- Translate business problems into analytical questions, hypotheses, and measurable KPIs.
- Move beyond reporting to explain "what happened, why it happened, and what should we do next."
- Develop actionable recommendations based on data and quantify potential business impact.
- Partner with Commercial, Category, Seller Management, Marketing, Finance, and Operations teams to solve business problems.
Data & Reporting
- Extract, transform, and analyze large datasets using SQL and Excel.
- Build and maintain analytical dashboards and performance reports using tools such as Power BI / Qlik / Tableau.
- Develop automated reporting solutions to improve efficiency and reduce manual analysis.
- Ensure consistency and accuracy of commercial KPIs through data validation and reconciliation.
Required Qualifications & Skills
- 2-3 years of experience in Data Analytics, Business Intelligence, Commercial Analytics, Sales
- Bachelors degree is required
- Ecommerce Experience is plus