Data Analyst II - Credit

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