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
