Senior Data Analyst

Summary

Join Wave, a leading financial institution in Africa, as a Senior Data Analyst and help us achieve our mission of making Africa the first cashless continent. You will be embedded within a product team, collaborating closely with product managers, engineers, and operations leads. Your responsibilities include improving operational efficiency, deriving insights from user data, designing and analyzing experiments, and building robust data systems. You will work remotely with flexible hours and enjoy competitive salary, generous equity, and comprehensive benefits. Wave offers subsidized health insurance, retirement contributions, paid parental leave, flexible vacation time, and charitable donation matching. This role requires 5+ years of experience in a similar role, strong SQL skills, and excellent data visualization and communication skills. The ideal candidate will have experience in financial reporting and a proven ability to work independently and lead projects.

Requirements

• 5+ years experience as a product analyst, data analyst, data scientist or similar role
• Experience working in large operational settings ( support/call centers, fleet management, supply chain operations, retail operations etc)
• Experience working with analytics platforms such as Tableau, Looker, Periscope etc
• Fluency in English
• Strong SQL skills (experience with dbt is a plus)
• Strong demonstrable experience in discovery, hypothesis testing and inference over fuzzy problems and large data sets
• A baseline understanding of designing, running and evaluating A/B tests
• Strong data visualization and communication skills

Responsibilities

• Be embedded in a product team where you will work closely with a product manager, engineers and operations leads
• Help find, test and implement process improvements to make our operations more efficient
• Derive insights from user, merchant and support center data, visualize and communicate these in ways that improve user and business outcomes
• Design, develop, implement and analyze experiments related to product features and operational processes
• Partner with Finance and Product/Data teams to build robust data systems that support financial forecasting, fund flows, and unit economics
• Take full ownership of the analytics process and work closely with finance- from project scoping and design through communicating findings to stakeholders

Preferred Qualifications

• Have worked on a cross-functional product team
• Have a background in financial reporting, forecasting, or fund flows — or experience supporting finance teams in decision-making
• Are able to work fairly independently
• Can communicate clearly with your colleagues in different roles (PM, engineers, operational leads, senior management)
• Have run a bunch of experiments and know what to do when things do not go as planned
• Excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation
• Love building resilient systems — you don’t just do one-off fixes, you help prevent issues before they arise

Benefits

• Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)
• 6 months of fully paid parental leave and subsidized fertility assistance
• Flexible vacation, with most folks taking between 30-40 days per year
• $10,000 annual charitable donation matching