Job Description – Manager / Senior Manager – Data Analytics & Consumer Insight
Department: Tech
Location: Delhi
Experience Required: 8–12 Years
Industry Preference: Retail / FMCG / E-commerce / SaaS / Telecom
Role Overview
We are looking for a highly analytical and business-driven, who will lead pricing strategy, revenue optimization, and data-driven decision-making. The role involves cross-functional collaboration to drive business growth, profitability, and customer experience through structured analytics and strategic initiatives.
Key Responsibilities
1. Pricing Strategy & Revenue Management
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Design and implement dynamic pricing, discounting, and packaging strategies
- Drive revenue growth through data-backed pricing frameworks
- Monitor pricing performance and optimize margin vs volume trade-offs
2. Data Analytics & BI Transformation
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Build and manage dashboards (Power BI / Tableau) for business insights
- Leverage SQL, Excel, and analytics tools for decision-making
- Develop forecasting models, KPIs, and performance tracking systems
3. Customer-Centric Initiatives
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Lead customer experience improvement programs (NPS, conversion optimization)
- Conduct A/B testing and experimentation for pricing and campaigns
- Drive segmentation strategies for targeted marketing and pricing
4. Revenue Optimization Programs
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Design and implement sales incentives and revenue enhancement programs
- Collaborate with sales teams to improve productivity and outcomes
- Track and optimize offline & online channel performance
5. Cross-Functional Stakeholder Management
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Work closely with Sales, Product, Finance, Tech, and Operations teams
- Align business objectives with execution across departments
Present insights and strategy recommendations to leadership
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Key Skills & Competencies
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Strong analytical and problem-solving skills
- Expertise in pricing strategy & revenue management
- Advanced Excel, SQL, Power BI / Tableau
- Experience in commercial modeling & forecasting
- Strong communication and stakeholder management skills
Experience in leading teams and cross-functional projects
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Tools & Technologies
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SQL, Excel, Power BI / Tableau
- Data Warehousing (Redshift / Oracle preferred)
A/B Testing & Analytics tools
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Educational Qualification
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Bachelor’s Degree (Mandatory)
MBA / Business Analytics / Data Analytics (Preferred)
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Preferred Experience
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Experience in Retail / FMCG / E-commerce / Telecom sectors
- Proven track record in driving revenue growth and pricing optimization
Experience in BI transformation and analytics setup
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Key Success Metrics (KPIs)
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Pricing Efficiency & Margin Improvement
- Conversion Rate Improvement
- Dashboard Adoption & Data Accuracy
- ROI on Pricing / Campaign Initiatives
