. The ideal candidate will be responsible for analyzing sales, inventory, pricing, and customer behavior data to deliver insights that drive strategic and operational decisions across marketing, merchandising, e-commerce, and operations.

Requirements

Key Responsibilities:

Business Insights & Data Analysis Analyze key business metrics such as sales, pricing, inventory levels, and customer behavior to generate actionable insights. Partner with cross-functional teams to support demand forecasting, pricing optimization, and assortment planning.
Campaign & Marketing Analytics Conduct Post Campaign Analysis (PCA) to assess campaign effectiveness and understand customer response. Perform Root Cause Analysis (RCA) to investigate performance anomalies and identify improvement opportunities. Support end-to-end campaign operations, from audience selection and data troubleshooting to performance evaluation.
Testing & Validation Design and execute A/B tests and other statistical methods to validate hypotheses and improve decision-making. Measure campaign KPIs such as open rates, click-through rates (CTR), conversions, ROI, and overall uplift.
Advanced Reporting & Visualization Leverage tools such as Microsoft Power BI, Excel, and SQL to build dashboards and conduct deep-dive analysis of customer segments, product trends, and other key performance indicators.
Stakeholder Collaboration Work closely with marketing, CRM, product, and analytics teams to deliver business-critical insights and analytics support. Communicate findings clearly and effectively to technical and non-technical audiences.

Qualifications & Skills:

Proven experience in data analytics or BI, preferably in a retail, FMCG, or consumer business environment
Strong command of SQL, Excel, and Power BI for data extraction, transformation, and visualization
Experience with campaign analytics, CRM data, and marketing effectiveness measurement
Hands-on expertise in A/B testing, root cause analysis, and segmentation
Excellent analytical thinking, attention to detail, and problem-solving abilities
Strong communication and cross-functional collaboration skills

Preferred Experience:

Background in marketing analytics, e-commerce analytics, or CRM performance measurement
Familiarity with customer lifecycle metrics, behavioral cohorts, and retention strategies

Key Skills:

Retail Analytics | SQL | Power BI | Excel | Campaign Analytics | A/B Testing | PCA | RCA | FMCG | CRM Analytics | Marketing ROI | Data Visualization

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Senior BI Analyst