Senior Marketing & Growth Analyst

We are looking for a Senior Marketing & Growth Analyst to join our Growth Business Analytics Team.

This role is responsible for driving business growth through data by designing, evaluating, and optimizing CRM communications, promotional mechanics, loyalty programs, pricing incentives, and personalized customer experiences.

The role primarily supports Food Delivery and Dark Store businesses while also contributing to the launch, setup, and analytical support of new business verticals. You will help define analytical frameworks for emerging products, validate business hypotheses, and support data-driven scaling of new verticals from early-stage experimentation to full commercialization.

• 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
  
  

• 5+ years of experience in Business Analytics, Marketing Analytics, Growth Analytics, CRM Analytics, or a 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 such as Power BI, Tableau, Looker, or similar
• Strong understanding of customer segmentation, funnel analytics, retention analysis, customer lifetime value (LTV), attribution, and marketing effectiveness measurement
• Strong understanding of statistical methods, experimentation frameworks, causal inference, forecasting, and predictive analytics
• Previous experience in E-commerce is highly preferred, as many of the analytical approaches around promotions, pricing, loyalty, CRM, customer lifecycle management, and experimentation are directly transferable to Food Delivery and Dark Store businesses
• Experience working with Food Delivery, Dark Stores, RetailTech, Marketplaces, or other high-scale consumer digital businesses is considered a strong advantage
• Experience working with pricing, promotional discounts, commercial optimization, and pricing strategy analytics is highly preferred
• Strong understanding of P&L, unit economics, contribution margin, ROI, profitability drivers, and financial business metrics is essential for this role
• Experience building business cases, financial models, forecasting scenarios, budget planning, and evaluating investment efficiency across marketing, CRM, pricing, and product initiatives
• Ability to translate analytical findings into business recommendations and influence commercial decisions
• Strong communication and stakeholder management skills with experience partnering across Product, Marketing, CRM, Commercial, Finance, Operations, and external partners