Senior Data Analyst - Credit

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.

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, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

We are looking for a Senior Data Analyst 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

• 6+ years of experience in data analytics
• Expertise in Credit Risk Analytics or Collections is a must
• Bachelor’s degree in Statistics, 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.