The Role
Lead analytics for CRM, promotions, loyalty, pricing, and lifecycle marketing to drive growth for Food Delivery and Dark Store businesses. Design and analyze experiments, measure incrementality, build forecasting and segmentation models, develop dashboards, support new vertical launches, and provide data-driven recommendations to commercial stakeholders.
Summary Generated by Built In
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.
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.
Key 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
Skills, Knowledge and Expertise
- 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
Why join us
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 48 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?
Skills Required
- 5+ years in Business Analytics, Marketing Analytics, Growth Analytics, CRM Analytics, or related analytical role
- Strong experience analyzing CRM, loyalty programs, promotions, pricing incentives, discounts, cashback, referrals, and customer lifecycle management
- Hands-on experience designing, executing, and evaluating A/B tests, multivariate experiments, and causal impact analysis
- Excellent SQL skills
- 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, LTV, attribution, and marketing effectiveness
- Strong understanding of statistical methods, experimentation frameworks, causal inference, forecasting, and predictive analytics
- Strong understanding of P&L, unit economics, contribution margin, ROI, and financial business metrics
- Experience building business cases, financial models, forecasting scenarios, and budget planning
- Ability to translate analytical findings into business recommendations and influence stakeholders
- Previous experience in E-commerce
- Experience with Food Delivery, Dark Stores, RetailTech, Marketplaces, or high-scale consumer digital businesses
- Experience with pricing, promotional discounts, and commercial optimization analytics
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The Company
What We Do
inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.
