About the company
inDrive is a global ride-hailing company expanding into food delivery and dark stores.
Responsibilities
- Own the analytical framework for CRM, promotions, loyalty programs, customer engagement, and lifecycle marketing initiatives
- Evaluate the effectiveness of promotional mechanics, personalized offers, discount strategies, coupons, cashback campaigns, referral programs, loyalty initiatives, and retention programs
- Design, execute, and analyze A/B tests and multivariate experiments across CRM, Product, and Marketing channels
- Define experimentation hypotheses, success metrics, statistical methodology, and rollout strategies
- Measure incrementality and causal impact of marketing and promotional activities using statistical methods and experimentation frameworks
- Analyze customer behavior across the entire lifecycle, including acquisition, activation, engagement, retention, reactivation, and churn prevention
- 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 closely with Commercial and Pricing teams to evaluate pricing strategies, promotional investments, discount effectiveness, and maximize business profitability while balancing customer growth and unit economics
- Build forecasting models to estimate the expected impact of promotions, CRM campaigns, pricing initiatives, loyalty investments, and product changes
- Develop multiple business scenarios and estimate financial impact under different assumptions to support strategic decision-making
- Actively participate in budgeting and planning cycles by translating analytical forecasts, scenario modeling, and successful experiment results into commercial and marketing budget recommendations
- 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, customer lifetime value, and overall business profitability
- Analyze the performance of third-party marketing channels, affiliate programs, strategic partnerships, and co-marketing initiatives to maximize customer acquisition, engagement, and profitability
- Measure the incremental impact and ROI of partnership programs, co-marketing activities, and third-party customer acquisition channels
- Support the launch, setup, and scaling of new business verticals by defining KPIs, analytical frameworks, experimentation strategies, performance measurement, and success criteria from day one
- Provide strategic recommendations supported by data and present insights to senior stakeholders
- Continuously improve experimentation methodologies, attribution models, forecasting approaches, and marketing analytics best practices