Data Analyst I at Careem

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Data Visualization, A/B Testing, ETL Processes, Statistics, AI Tools, Communication, Problem Solving, Attention to Detail, Analytical Thinking, Data Quality, Dashboard Development, Exploratory Data Analysis, Version Control

Industry

Software Development

Description

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 Team: Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region’s day to day problems. The Careem Analytics team’s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them. Responsibilities Collect, clean, and analyze structured and unstructured data from various internal and external sources. Build and maintain dashboards and reports to track KPIs and business performance. Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Support experimentation (A/B testing) and data-driven decision-making. Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently. Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity. Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports. Document data definitions, methodologies, and analysis processes. Ensure data quality, integrity, and accuracy in reporting systems. Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders. Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or a related field. 0–2 years of experience as a Data Analyst or in a similar analytical role. Strong SQL skills and proficiency in at least one analytical language (Python or R). Strong SQL and Python skills, with experience in analytical libraries (e.g., pandas, NumPy, SciPy). Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase). Understanding of data modeling, ETL processes, and database concepts. Basic knowledge of statistics and hypothesis testing. Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot) and an understanding of how to apply them to automate analyses, improve data exploration, and enhance decision-making. Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation. Strong attention to detail and ability to manage multiple priorities. Excellent communication and presentation skills with the ability to explain insights effectively. Strong attention to detail, analytical curiosity, and a bias for driving measurable impact. Experience with version control (Git) and data warehouses (BigQuery, Redshift, Snowflake) is a plus. 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.

Responsibilities

The Data Analyst I will collect, clean, and analyze structured and unstructured data from various sources, and build and maintain dashboards to track KPIs and business performance. They will work with cross-functional teams to deliver actionable insights and support data-driven decision-making.