Senior E-commerce Data Analyst

• Strong SQL skills and hands-on experience working with large, multi-source datasets.

• Advanced Power BI skills including data modeling, DAX, Power Query, dashboard design and performance optimization.

• Strong Python skills for data cleaning, analysis, automation, forecasting and statistical modeling.

• Experience with BigQuery / cloud data warehouses, ETL/ELT pipelines, APIs and automated data refresh processes.

• Solid e-commerce analytics experience across sales, traffic, conversion, AOV, cancellations, returns, payments, delivery and customer retention.

• Hands-on knowledge of GA4 and digital marketing data; ability to combine web analytics, ad-platform and transactional data.

• Strong capability in customer analytics including cohort analysis, RFM, CLV/LTV, repeat purchase, retention and churn analysis.

• Experience with product, category and merchandising analytics including SKU scoring, stock coverage, sell-through and price-point analysis.

• Integrate and reconcile data from BigCommerce, GA4, Google Ads, Meta and other marketing platforms, OMS/CMS, payment gateways, BNPL providers and internal sources.

• Develop scalable BigQuery datasets, SQL models and automated data pipelines with strong data-quality checks and documentation.

• Build customer analytics covering new vs. returning customers, retention, cohort behavior, RFM, CLV/LTV, frequency, churn and reactivation opportunities.

• Create product and merchandising analytics by SKU, business unit, category, price point and market, including a SKU performance score using sales, impressions, PDP views, add-to-cart and conversion signals.

• Analyze inventory and stock coverage, identify lost-sales risk, slow movers and replenishment priorities, and support assortment planning by market.

• Support annual budgeting and forecasting with monthly/category projections, scenario modeling, target setting and variance analysis versus budget, forecast and prior year.

• Evaluate marketing efficiency by channel and campaign, including ROAS, CAC, contribution, funnel performance and incremental opportunities through the dashboards.

• Perform root-cause and ad-hoc analyses, clearly quantify business impact, and recommend practical actions to e-commerce, marketing, operations, content and technology teams.

• Present concise weekly/monthly insights to the Group E-commerce Manager and senior stakeholders, with clear risks, opportunities, priorities and measurable next actions.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science or a related field.

• 4–7 years of experience in Data Analytics, Business Intelligence, or E-commerce Analytics.

• Strong knowledge of SQL, Power BI, and Python.

• Hands-on experience with BigQuery or cloud data warehouses and data integration.

• Good knowledge of GA4, Google Ads, Meta, and other digital platforms.

• Strong knowledge of forecasting, reporting, and KPI analysis.

• Strong analytical and problem-solving skills.

• Excellent communication and presentation skills.

• Very good command of English.