inDrive is a global ride-hailing company expanding into food delivery and dark store businesses.
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
Requirements
Experience in marketing analytics, growth analytics, or similar role
Strong SQL and Python skills
Experience with A/B testing and statistical analysis
Experience with CRM, promotions, and loyalty programs
Experience with forecasting and scenario modeling
Ability to work with large datasets and build dashboards
Strong communication and stakeholder management skills