Careem 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 50 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.
About the team
The senior business analyst will be a core part of the growth and analytics team. With a focus on deep analytics, cross-functional collaboration, and fast-paced delivery, this role requires an individual who can merge strategic insights with tactical execution across all Food, Careem Plus and Dineout.
What you'll do
Drive analytics for Food partner team and help the team build deeper connections with restaurant partners
Produce and leverage insights to rapidly grow and improve food business and user experience
Architect and refine dashboards, ensuring key metrics are accessible, understandable, and actionable for all relevant stakeholders.
Engage deeply with our data warehouse, ensuring its robustness, relevance, and efficiency.
Manage ETL processes, ensuring data integrity and timely availability for business operations.
Continuously challenge the status quo, probing the "So What's" behind every piece of data and insight.
What you'll need
At least two years of relevant work experience
Proficiency in Excel, SQL. Python is a plus
Experience working with multiple Business Intelligence tools, building reports and dashboards
Experience with data warehouse and data marts and data infrastructure
Hands-on experience with both relational and dimensional database modelling.
Ability to effectively articulate technical challenges and solutions, deal with loosely defined problems and fast changing requirements & think abstractly