Data Analyst

Full time
Posted Aug 14, 2025
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Job Details

Employment Type

Full time

Salary

2,012.00 USD

Valid Through

Sep 13, 2025

Job Description

About the CompanyCareem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2. 5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

What You’ll DoBuild and maintain dashboards and automated reports to track real-time business performance. Write intermediate to advanced SQL queries to analyze large datasets and uncover actionable trends. Monitor and report on key KPIs across verticals like Grocery and Food. Analyze conversion funnels, pricing impact, and reliability metrics to improve performance across Grocery and DineOut. Partner with category managers to identify operational bottlenecks and customer drop-offs, and provide data-backed recommendations. Support the growth of Careem Plus by analyzing subscriber behavior, churn, retention, and engagement metrics.

Assist in designing and evaluating campaigns to drive adoption of Careem Plus across multiple verticals. Run A/B tests and promo experiments to optimize discounts and feature launches for both customer value and business ROI. Collaborate closely with marketing, product, and operations teams to answer day-to-day analytical questions and support strategic decisions. What You’ll Need2 years of experience in analytics roles within tech companies, startups, or other data-driven environments. Strong command of SQL, including window functions, joins, and data transformations on datasets. Hands-on experience with BI tools like Tableau, Sheets, or Power BI to create and manage dashboards.

A structured and analytical mindset, with the ability to think critically and solve problems independently. Bonus: familiarity with Python (Pandas, NumPy) for analysis or workflow automation. Excellent communication skills and the confidence to share insights across both technical and non-technical teams.

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