Data Analyst II - Credit

About Us

Tamara is a prominent fintech platform operating in Saudi Arabia and the GCC, dedicated to enabling people to realise their dreams through simple, trustworthy financial services available wherever customers need them. Serving over 25 million customers and partnering with more than 130,000 merchants daily, Tamara offers dependable financial solutions across numerous sectors including retail, travel, education, and healthcare. The company is supported by notable investors such as Sanabil Investments, the Public Investment Fund (PIF), and SNB Capital.

Job Overview

We seek an experienced Data Analyst II to advance growth within our Credit department. The role involves creating analytical solutions that support decision-making and managing cross-functional stakeholder collaboration. As a fast-growing startup, Tamara focuses on defining critical product metrics and enhancing decision-making grounded in data analysis.

Key Responsibilities

• Generate business value by delivering actionable insights and pinpointing rapid growth opportunities.
• Design and maintain dashboards presenting accurate and meaningful insights.
• Collaborate with data engineering teams to meet data enrichment requirements for product teams.
• Coordinate with various stakeholders to prioritize projects by impact and ensure timely execution.
• Create systematic processes for identifying, analyzing, and interpreting trends in complex datasets to enable informed stakeholder decisions.
• Maintain governance standards and promote rigorous analytical best practices throughout all processes.

Qualifications and Expertise

• Minimum of 4 years in data analytics roles.
• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or any analytical discipline; candidates from other fields with relevant experience are considered.
• Proficient in programming languages such as Python or R for data manipulation and insight extraction from large datasets.
• Strong proficiency in SQL, with experience in implementations like MySQL or PostgreSQL.
• Solid understanding of domain-specific knowledge, especially in Finance, Risk, or Product areas.
• Familiarity with machine learning tools and methodologies in Python or R is advantageous.
• Experienced in using data visualization platforms such as Tableau, PowerBI, or Qlik.
• Knowledge of Apache Superset for dashboarding is a plus.
• Prior experience in rapidly growing startups or unicorn companies is favorable but not obligatory.

Additional Information

We welcome applications from all qualified individuals committed to contributing to our innovative fintech environment.