About the role
Careem is revolutionizing the digital landscape in the Middle East with the Everything App, designed to simplify transportation, food and grocery delivery, payment management, and much more. Our mission is clear: to enhance the lives of our users while fostering an inspiring and innovative organization.
Since our inception in 2012, we have empowered over 2.5 million Captains, improved the lives of more than 70 million customers, and created a thriving platform for the region's top talent and entrepreneurs. We operate across 70+ cities in 10 countries, from Morocco to Pakistan.
As we enter a new chapter driven by AI innovation, we seek talented individuals who are eager to leverage AI to develop tools, automate processes, and generate meaningful impact. If you are passionate about enhancing operational efficiency, improving customer experiences, and transforming internal systems, we want you to help us make Careem smarter and faster.
About the Team:
As a member of the Careem NextGen Team, you will embark on a journey to cultivate analytical excellence. You will engage with cutting-edge projects and advanced technologies that facilitate accelerated learning and exposure, utilizing modern analysis and visualization tools to address everyday challenges in the region.
The mission of the Careem Analytics team is to provide a comprehensive view of Careem's operations and customer experiences, uphold service quality, deliver actionable insights, define challenges, and contribute to their resolution.
Responsibilities
- Gather, clean, and analyze both structured and unstructured data from diverse internal and external sources.
- Design and maintain dashboards and reports to monitor KPIs and assess business performance.
- Collaborate with cross-functional teams (product, engineering, and operations) to understand data requirements and provide actionable insights.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.
- Assist in experimentation (A/B testing) and promote data-driven decision-making.
- Craft SQL queries and utilize analytical tools for efficient data extraction, transformation, and analysis.
- Employ AI and automation tools to enhance routine tasks and workflows.
