Senior Growth Analyst

Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires. Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan. We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster. About The Role The role is responsible for driving data-driven insights and strategies to fuel user acquisition, engagement, and retention across Careem's platform and verticals. The role holder will leverage advanced data analytics, understanding of consumer behavior and prior grasp of key fundamental growth metrics to define and analyze growth opportunities, optimize initiatives and improve key metrics such as MAUs, NU count, cross sell rate and retention What You'll Do Data Collection and Preparation - Extract Data: Retrieve data from multiple sources (SQL databases, APIs, and third-party tools) to support analysis. - Data Cleaning and Wrangling: Prepare and clean datasets to ensure accuracy and usability for analysis. - Maintain Data Integrity: Regularly verify and maintain data quality, ensuring consistent and reliable information for decision-making. - Automate Data Pipelines: Develop and refine scripts to automate repetitive data tasks, improving efficiency. Analysis and Insights - Conduct Exploratory Data Analysis (EDA): Perform preliminary analysis to uncover trends, patterns, and initial insights at channel, vertical and campaign level. - A/B Testing: Design, run, and analyze A/B tests to measure the effectiveness of growth initiatives. - User Behavior Analysis: Analyze user activity, segment performance, and identify key behavior trends to support user growth, engagement, and retention. - Predictive Analysis: Apply advanced statistical techniques to forecast trends and potential outcomes. Reporting and Visualization - Build Dashboards: Develop and maintain dashboards (e.g., in Tableau, Power BI) to provide real-time insights to stakeholders. - Generate Regular Reports: Create and distribute automated weekly and monthly reports on key metrics and performance indicators. - KPI Tracking: Track and report on core growth KPIs, including retention, churn, and acquisition metrics. What You Need - Bachelor’s degree in Engineering/Mathematics/Statistics - Certifications in Data Intelligence/BI reporting/ AI preferred. - 3-4 years of proven experience in a similar role preferably in a large Scale B2C startup (Food delivery, e-commerce, gaming) or consumer internet business. - Well versed in data mining, statistical modeling and advanced data analysis. - Strong hold of Python, SQL and data visualization tools (Power BI, VBA, Tableau) and Powerpoint. - Strong hold on application of AI and LLM models for automation of tasks. - Strong understanding of A/B Testing, Regression Analysis, User Segmentation. - Demonstrated experience in applying behavior analytics principles to growth models. - Good communication skills with ability to effectively present results to both technical and non-technical audience. What we’ll provide you We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to: - Work and learn from great minds by joining a community of inspiring colleagues. - Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential. - Explore new opportunities to learn and grow every day. - Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.) - Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

Bachelor’s degree in Engineering/Mathematics/Statistics; Certifications in Data Intelligence/BI reporting/ AI preferred; 3-4 years of proven experience in a similar role preferably in a large Scale B2C startup (Food delivery, e-commerce, gaming) or consumer internet business; Well versed in data mining, statistical modeling and advanced data analysis; Strong hold of Python, SQL and data visualization tools (Power BI, VBA, Tableau) and Powerpoint; Strong hold on application of AI and LLM models for automation of tasks; Strong understanding of A/B Testing, Regression Analysis, User Segmentation; Demonstrated experience in applying behavior analytics principles to growth models; Good communication skills with ability to effectively present results to both technical and non-technical audience.

Data Collection and Preparation: Extract data from multiple sources (SQL databases, APIs, and third-party tools) to support analysis. Data Cleaning and Wrangling: Prepare and clean datasets to ensure accuracy and usability for analysis. Maintain Data Integrity: Regularly verify and maintain data quality, ensuring consistent and reliable information for decision-making. Automate Data Pipelines: Develop and refine scripts to automate repetitive data tasks, improving efficiency. Analysis and Insights: Conduct Exploratory Data Analysis (EDA) to uncover trends, patterns, and initial insights at channel, vertical and campaign level. A/B Testing: Design, run, and analyze A/B tests to measure the effectiveness of growth initiatives. User Behavior Analysis: Analyze user activity, segment performance, and identify key behavior trends to support user growth, engagement, and retention. Predictive Analysis: Apply advanced statistical techniques to forecast trends and potential outcomes. Reporting and Visualization: Build Dashboards (e.g., in Tableau, Power BI) to provide real-time insights to stakeholders. Generate Regular Reports: Create and distribute automated weekly and monthly reports on key metrics and performance indicators. KPI Tracking: Track and report on core growth KPIs, including retention, churn, and acquisition metrics.