Trainee Data Analyst
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About the Role
Job Information Date Opened 03/31/2026 Job Type Temporary Industry Automotive State/Province Dubayy (Dubai) City Dubai Zip/Postal Code 337-1500 Country United Arab Emirates About Us Who WE are?
Key Skills for This Role
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About Us
Who WE are?
KAVAK is the number one e-commerce in the purchase and sale of pre-owned vehicles with the fastest growth in Latin America.
We**work smart and make things happen,** offering the**easiest, safest and most transparent experience to buy or sell a car**.
But our journey doesn't stop there: at KAVAK our goal is global!
Now **our footprint extends to the vibrant GCC region**as part of our expansion into the Middle East, in the pursuit of our one and only goal: **to transform the automotive market around the world.**
Today we have more than 180 Kavakees on the GCC team and growing, **surrounding ourselves with the best talent** to continue **building the technology, processes, and products** that make us the **number one player in the pre-owned car market**.
Wanna join us on this exciting ride?
Job Description
We are looking for a **Trainee Data Analyst** to support our Business Intelligence team in delivering reliable reporting and actionable insights to business stakeholders.
The trainee will assist in maintaining dashboards and ensuring data accuracy across reporting processes.
This role is ideal for someone interested in how data supports operational and strategic decisions across different departments.
Key Responsibilities
- Assist in preparing and maintaining recurring business reports and dashboards used by leadership and operational teams.
- Support data validation and quality checks to ensure accuracy and consistency in reporting.
- Extract and organize data from internal databases or reporting systems.
- Assist in documenting reporting logic, KPI definitions, and data sources.
- Monitor and troubleshoot issues in existing reports and dashboards.
- Support ad-hoc analysis requests from retail teams.
- Contribute to improving reporting efficiency through AI Proficiency.
Skills And Qualifications
- Degree in Business Analytics, Economics, Statistics, Engineering, Computer Science, or a related field.
- Strong proficiency in Sheets (pivot tables, lookups, general formulas).
- Basic understanding of SQL for data extraction (Basic test will be provided).
- Strong attention to detail and commitment to data accuracy.
- Commitment to improve as fast as possible.
- Advanced Problem Solving Skills (Requires Test for Final Interview).
- Do you want to be part of this story? **Apply now!**
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