Rozana
Linkedin · Posted 1mo ago
Manager / Senior Manager – Data Analytics & Consumer Insight
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Indexed description
Job Description – Manager / Senior Manager – Data Analytics & Consumer InsightDepartment: TechLocation: DelhiExperience Required: 8–12 YearsIndustry Preference: Retail / FMCG / E-commerce / SaaS / TelecomRole OverviewWe 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
- Pricing Strategy & Revenue Management
- 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
- Data Analytics & BI Transformation
- 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
- Customer-Centric Initiatives
- 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
- Revenue Optimization Programs
- 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
- Cross-Functional Stakeholder Management
- Work closely with Sales, Product, Finance, Tech, and Operations teams
- Align business objectives with execution across departments
- Present insights and strategy recommendations to leadership
- 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
- SQL, Excel, Power BI / Tableau
- Data Warehousing (Redshift / Oracle preferred)
- A/B Testing & Analytics tools
- Bachelor’s Degree (Mandatory)
- MBA / Business Analytics / Data Analytics (Preferred)
- 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
- Pricing Efficiency & Margin Improvement
- Conversion Rate Improvement
- Dashboard Adoption & Data Accuracy
- ROI on Pricing / Campaign Initiatives
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