Retention & Monetization Analytics Delivery Professional

About the role:

We are looking for an experienced Head Retention & Monetization Analytics Delivery to lead the delivery ofdata-driven retention, CRM, and monetization strategies for leading consumer digital platforms. This rolecombines analytics leadership with business impact. You will own the delivery of retention analytics engagements,helping clients transform transactional and behavioural data into actionable insights that improve userengagement, lifecycle performance, customer lifetime value (LTV), and monetization. Working closely withProduct, Marketing, CRM, and Analytics teams, you will build scalable retention frameworks, embed AI-drivenautomation into delivery, and ensure analytics programs consistently translate into measurable commercialoutcomes.

Key Requirement:

Retention Strategy & Monetization Analytics

• Build and own end-to-end customer lifecycle frameworks across onboarding, activation, engagement,retention, and monetization.
• Develop cohort models, retention funnels, churn prediction frameworks, and lifecycle segmentationstrategies.
• Deliver actionable insights across web, mobile, loyalty, gamification, and CRM touchpoints that improvecustomer engagement and business performance.
• Design attribution frameworks that clearly measure the business impact of analytics initiatives on KPIssuch as DAU/MAU retention, repeat purchase rate, ARPU, conversion, and LTV:CAC.
• Drive experimentation through A/B testing, funnel optimization, and behavioral analytics to improveretention and monetization outcomes.
• Mentor and develop analytics teams into strategic retention and growth consultants.

Analytics Delivery & Client Success

• Lead analytics delivery across multiple enterprise accounts while ensuring exceptional quality andexecution.
• Own client relationships for analytics engagements and act as the trusted advisor on growth and retentionstrategies.
• Maintain high client satisfaction through proactive communication and delivery excellence.
• Ensure adherence to delivery SLAs, governance standards, and operational best practices.
• Manage delivery utilization, project profitability, and resource allocation to achieve commercial objectives.
• Drive continuous improvement across analytics delivery processes.

AI, Automation & MarTech Innovation

• Identify opportunities to automate analytics workflows using AI and modern MarTech capabilities.
• Build predictive analytics capabilities including churn prediction, automated audience segmentation,recommendation models, and intelligent reporting.
• Introduce AI-driven frameworks that improve delivery efficiency while increasing analytics quality.
• Drive automation initiatives that improve gross margins and reduce manual execution effort.
• Evaluate emerging analytics, AI, and customer engagement technologies and incorporate them into theservice offering.

Cross-functional Collaboration

• Partner with Product, CRM, Marketing, Engineering, and Client Success teams to deliver integratedcustomer growth strategies.
• Translate business objectives into measurable analytics roadmaps.
• Present executive-level insights and business recommendations to senior client stakeholders.
• Support pre-sales, solutioning, and client workshops for strategic analytics opportunities.

Background and Experience:

Required

• 7- 8+ years of experience in Retention Analytics, Growth Analytics, Product Analytics, CRM Analytics, orMarTech delivery.
• Experience working with digital consumer businesses across E-commerce, D2C, FinTech, Gaming,Subscription Platforms, or Consumer Internet.
• Strong expertise in customer lifecycle management, retention strategy, churn analytics, funneloptimization, cohort analysis, RFM segmentation, and monetization analytics.
• Hands-on experience with analytics and engagement platforms including:

-Amplitude

-Mixpanel

-CleverTap

-MoEngage

-WebEngage

-Google Analytics 4 (GA4)

• Strong SQL skills and experience with BI platforms such as Tableau, Power BI, Looker, Snowflake, orBigQuery.
• Experience working with CRM and Customer Data Platforms including Salesforce Marketing Cloud, Braze,Segment, or Customer.io.
• Proven experience leading cross-functional analytics teams and managing enterprise client relationships.

Preferred

• Experience in SportsTech, Media, Gaming, or Entertainment platforms.
• Exposure to AI-driven personalization, recommendation engines, and predictive analytics.
• Experience leading large-scale retention transformation programs.
• Experience working with product-led growth (PLG) or DTC businesses.

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.