BI Analyst-Commercial

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.

The ideal candidate should be comfortable working with large datasets, applying statistical techniques to identify patterns and relationships, and converting complex analysis into clear, actionable recommendations for business stakeholders.

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.

Job Requirements Required Qualifications & Skills

2–3 years of experience in Data Analytics, Business Intelligence, Commercial Analytics, Sales

Bachelors degree is required

Ecommerce Experience is plus