Senior data analyst for credit at Tamara, Riyadh

Role:Senior Data Analyst within the credit department at Tamara in Riyadh, Saudi Arabia. The posting was published on the company’s official job board on 20 September 2026, and the department is listed as Credit, Data.

Primary challenge:Tamara is a fintech platform based in Riyadh, and the announcement states that more than 25 million customers and over 130 k partner merchants rely on it. The role is not about producing periodic reports, but about building analytical capability within credit specifically: dashboards on which decisions are actually made, joint work with the data engineering team to enrich the data needed by the product team, and prioritizing projects by impact with stakeholders across multiple departments. The announcement also adds a typically overlooked element, governance: the job holder is expected to be a guardian of sound analytical practices across the whole process, not merely a producer of numbers.

Key requirements:Six years or more inSix years or more in data analysis. A bachelor’s degree in statistics, computer science, or another analytical field, with an explicit welcome in the posting for graduates of other disciplines who have the knowledge and experience. Practical experience programming in Python or R to handle large data sets, and proficiency in a SQL platform such as MySQL or PostgreSQL. Clear understanding of one of the domains: finance, risk, or product. The posting treats experience with machine-learning tools in R or Python as an additional, not required, advantage, and it requires experience with at least one data-visualisation tool such as Tableau, Power BI or Qlik, while experience with Apache Superset and prior work at a fast-growing startup count as extra points.

Salary:Unannounced.

Practical step:Read the requirements list as written. Machine learning is mentioned as a feature, while SQL, Python, and domain knowledge are basic requirements. Prepare before applying a single specific example of a credit or operational decision that changedRead the requirements list as written. Machine learning is mentioned as a feature, while SQL, Python, and domain knowledge are basic requirements. Prepare before applying a single specific example of a credit or operational decision that changed because of an analysis you performed, including the figure that moved and the time it took to reach it, because that is what separates those who build dashboards from those who drive decisions.

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