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We are hiring Senior Data Analysts to lead data analytics and reporting across retail and digital channels by building scalable insights, mentoring analysts, and enabling data-driven decision-making for marketing, sales, and operations.

Experience: 4 - 7 Years

Qualification: 

•    Bachelor’s or Master’s degree in data science, Management, Statistics, Mathematics, Computer Science, Engineering or related fields
•    Certifications in Data Analytics, Power BI, Tableau, SQL, or Digital Analytics preferred

Job Description

Duties & Responsibilities: 

• Lead end-to-end analysis of retail, e-commerce, marketing, customer, and operational data to identify growth opportunities, inefficiencies, and risks.
• Translate business objectives into analytics frameworks, KPIs, and dashboards aligned to revenue, conversion, footfall, and campaign effectiveness.
• Drive marketing performance analysis including campaign ROI, attribution, funnel analysis, and customer segmentation.
• Support A/B testing, experimentation, and promotional analysis across online and offline channels.
• Own the design, development, and governance of dashboards and automated reports using Excel, Power BI/Tableau, and SQL.
• Establish and maintain data definitions, documentation, and SOPs for reporting and analysis.
• Lead, mentor, and guide a team of data analysts, reviewing outputs and improving analytical quality.
• Work closely and proactively with marketing, performance, category, digital, and operations teams to convert business questions into actionable insights, improvements and recommendations.

Required skills & expertise: 

• 4 – 7 years of experience in data analytics / business intelligence roles
• 2+ years in retail, e-commerce, or marketing-driven environments preferred
• Prior experience leading or mentoring analysts is a strong advantage
• Exposure to omni-channel analytics is a plus.
• Retail and e-commerce performance metrics (sales, margin, inventory, promotions, footfall)
• Marketing and digital analytics concepts (funnels, attribution, CAC, ROAS, LTV)
• Data modeling and reporting best practices
• Understanding of online & offline customer journeys
• Experience working with large, multi-source datasets
• Advanced MS Excel (data modeling, automation, complex formulas)
• Strong Power BI / Tableau dashboard design and storytelling
• Stakeholder management and communication skills
• Team leadership, mentoring, and management capability