Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA, and Amazon, as well as small and medium businesses. Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, among others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.
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We are looking for a Senior Data Analyst to support functions across Payments and take us to the next stage of growth. 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 enhance decision-making through data.
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.
- Collaborate with stakeholders across the business to prioritize projects based on impact and drive delivery.
- Develop a process to identify, analyze, and interpret trends or patterns in complex data sets to empower informed decision-making for stakeholders.
- Ensure governance and be a steward of good analytical practices throughout the process.
Expertise Required:
- 4+ years of experience in data analytics.
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or other analytical fields. Graduates from other fields with relevant knowledge and experience are welcome to apply.
- Hands-on experience using programming languages (Python, R) to manipulate large datasets for insights.
- Demonstrated proficiency in one or more implementations of SQL (e.g., MySQL, PostgreSQL).
- Display understanding of your domain of interest – Whether it's Finance, Risk, or Product.
- Experience using Machine Learning tools and techniques in R or Python is a plus.
- Experience using one or more data visualization tools (e.g., Tableau, PowerBI, Qlik).
- Experience creating data visualizations and dashboards with Apache Superset is a bonus.
- Experience in a high-growth startup or unicorn is a bonus.
All qualified individuals are encouraged to apply.
