Mid/Senior Data Analyst - FinTech

Job Description Roles & Responsibilities Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems. The Data Analytics team is part of Yassir s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Desired Candidate Profile 2-5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Mid/Senior Data Analyst - FinTech Get real-time job updates only on our App