Senior Data Analyst Fintech

The Data Analytics team is part of Yassirs 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 whats 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!

• Analyze customer transaction merchant and agent data to identify trends opportunities and performance drivers across Wallets Payments Bill Payments Merchant Payments P2P Transfers and other Financial Services products.

• Partner with Product Managers Operations Risk Finance and Engineering teams to answer business questions through data and support product decision-making.

• Develop and maintain dashboards reports and KPI tracking frameworks to monitor customer growth engagement retention transaction performance and revenue metrics.

• Conduct deep-dive analyses on customer behavior payment funnels wallet activation transaction success rates merchant activity and agent performance.

• Support product discovery and feature development by identifying customer pain points behavioral patterns and growth opportunities using data.

• Design execute and evaluate A/B tests feature launches promotional campaigns and product experiments to measure impact and guide future improvements.

• Work closely with Data Science and Risk teams to support customer segmentation fraud monitoring credit risk analysis and predictive modeling initiatives.

• Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.

• Monitor data quality identify anomalies and collaborate with Data Engineering teams to improve tracking instrumentation and reporting accuracy.

• Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations reports and dashboards.

• 25 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.

• 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.