Tamara
Data Analyst II - Credit
Riyadh, Saudi Arabia
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- Seniority
- Mid level
- Country
- SA
- Work mode
- On-site / unstated
- First seen by hirly
- 16 Sept 2026
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the posting
About Us
Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others.
We are looking for Data Analyst II to take us to the next stage of growth across the Credit department. The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders across a broad range of functions. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data.
Your Responsibilities
Drive business impact through actionable insights and identifying key opportunities for rapid growth
Build dashboards that provide accurate and actionable insights
Work with the data engineering team on the data enrichment needs of the product team
Work with stakeholders across the business to prioritize projects based on impact and drive delivery
Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders
Ensuring governance and being a steward of good analytical practices throughout the process
Your Expertise
4+ years of experience in data analytics
Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science or other analytical field. Graduates from other fields with relevant knowledge and experience are welcome to apply.
Hands on experience using programming (Python, R) to manipulate large data sets for insights
Demonstrated proficiency in one or more implementations of SQL (e.g. MySQL, PostgreSQL)
Display understanding of your domain of interest - Whether its Finance, Risk, or Product
Experience using Machine Learning tools and techniques in R or Python a plus!
Experience using one or more data visualization tools (e.g. Tableau, PowerBI, Qlik)
Experience creating data visualizations and dashboards with Apache Superset a bonus
Experience in a high-growth startup or unicorn a bonus!
All qualified individuals are encouraged to apply.
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