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inDrive is seeking a Senior Marketing & Growth Analyst to join the Growth Business Analytics Team. This role drives business growth through data-driven optimization of customer engagement, promotions, loyalty programs, and pricing strategies.
You will own the analytical framework for CRM communications, promotional mechanics, loyalty programs, and lifecycle marketing initiatives, primarily supporting Food Delivery and Dark Store businesses while contributing to the launch and scaling of new business verticals. Key responsibilities include:
• Design, execute, and analyze A/B tests and multivariate experiments across CRM, Product, and Marketing channels, defining hypotheses, success metrics, and statistical methodologies
• Measure incrementality and causal impact of marketing and promotional activities using statistical methods and experimentation frameworks
• Analyze customer behavior across the entire lifecycle (acquisition, activation, engagement, retention, reactivation, churn prevention) and build customer segmentation frameworks using behavioral, transactional, demographic, and predictive signals
• Develop dashboards and automated reporting to monitor promotional performance, CRM efficiency, customer engagement, retention, LTV, ROI, and business KPIs
• Partner with Commercial and Pricing teams to evaluate pricing strategies, promotional investments, and discount effectiveness while maximizing profitability and unit economics
• Build forecasting models to estimate the impact of promotions, CRM campaigns, pricing initiatives, loyalty investments, and product changes
• Develop multiple business scenarios and financial impact estimates to support strategic decision-making
• Support annual and quarterly business planning through financial modeling, scenario analysis, budget planning, and investment prioritization
• Identify optimization opportunities across customer journeys to maximize conversion, retention, LTV, and profitability
• Analyze third-party marketing channels, affiliate programs, and strategic partnerships to measure incremental impact and ROI
• Support the launch and scaling of new business verticals by defining KPIs, analytical frameworks, experimentation strategies, and success criteria
• Provide strategic recommendations to senior stakeholders and continuously improve experimentation methodologies and marketing analytics best practices
REQUIREMENTS:
• 5+ years of experience in Business Analytics, Marketing Analytics, Growth Analytics, CRM Analytics, or related analytical role
• Strong experience analyzing CRM, loyalty programs, promotional mechanics, pricing incentives, discounts, cashback campaigns, referral programs, personalized customer journeys, and customer lifecycle management
• Hands-on experience designing, executing, and evaluating A/B tests, multivariate experiments, incrementality measurement, and causal impact analysis
• Excellent SQL skills and strong Python proficiency for statistical analysis, automation, forecasting, and predictive modeling
• Experience with BI tools (Power BI, Tableau, Looker, or similar)
• Strong understanding of customer segmentation, funnel analytics, retention analysis, LTV, attribution, and marketing effectiveness measurement
• Strong understanding of statistical methods, experimentation frameworks, causal inference, forecasting, and predictive analytics
• Strong understanding of P&L, unit economics, contribution margin, ROI, profitability drivers, and financial business metrics
• Experience building business cases, financial models, forecasting scenarios, budget planning, and evaluating investment efficiency
• Ability to translate analytical findings into business recommendations and influence commercial decisions
• Strong communication and stakeholder management skills
HIGHLY PREFERRED:
• Previous experience in E-commerce (approaches directly transferable to Food Delivery and Dark Stores)
• Experience with Food Delivery, Dark Stores, RetailTech, Marketplaces, or other high-scale consumer digital businesses
• Experience with pricing, promotional discounts, commercial optimization, and pricing strategy analytics
