About the Role
The role is responsible for driving cross-selling initiatives by maximizing user engagement and adoption across Careem’s multiple verticals. The role holder will leverage strategic insights, advanced data analytics, and a deep understanding of consumer behavior to create and implement targeted cross-sell strategies focused on maximizing CLTV and AOV across different Careem verticals.
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What You'll Do
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Cross-Sell Strategy Development:
- Lead the design and execution of highly targeted marketing initiatives that promote multi-vertical adoption among Careem users.
- Utilize robust analytics and market research to identify cross-selling opportunities, drive recommendations, and build tailored strategies.
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User Engagement and Journey Optimization:
- Map and optimize the customer journey to drive cross-vertical adoption.
- Analyze user behavior to pinpoint drop-off and friction areas, ensuring seamless experiences through cross-functional collaboration.
- Develop personalized in-app nudges and recommendations to promote cross-sell behavior and deeper engagement.
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Performance Analysis and Growth Hacking:
- Lead Exploratory Data Analysis (EDA), A/B testing, and predictive analytics to uncover trends and initial insights.
- Track and iterate on key metrics like cross-sell conversion rate, CLTV, and engagement metrics.
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User Behavior Analysis:
- Leverage user segmentation and behavioral data to design personalized cross-sell offers.
- Engage with regional marketing teams to understand regional nuances and ensure relevance across different markets.
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Reporting and Insights:
- Build dashboards and performance reports to track cross-sell impact.
- Continuously assess the effectiveness of campaigns and strategies, recommending data-driven improvements.
What You'll Need
- Bachelor’s or Master’s degree in Marketing, Engineering, Data Science, or a related field.
- 4-6 years of experience in growth marketing, cross-selling, or lifecycle management within a tech-first multi-vertical organization and/or large scale B2C startup.
- Strong skills in data mining, statistical modeling, and advanced data analysis.
- Proficiency in Python, SQL, and data visualization tools (Power BI, VBA, Tableau) and PowerPoint.
- Strong understanding of A/B Testing, Regression Analysis, User Segmentation, Cohort analysis, and CLTV models.
Work Conditions
- Work 4 days a week in the office and 1 day from home, with the option to work remotely from any country for 30 days a year.
- Unlimited vacation days per year.
- Access to healthcare benefits and fitness reimbursements.
Location
Dubai, United Arab Emirates
