Senior Data Analyst
closed
Wave Mobile Money
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 in 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 communicating findings to stakeholders. This remote position offers competitive salary, generous equity, and excellent benefits. Wave prioritizes a flexible work environment and provides opportunities for professional growth. The ideal candidate possesses extensive experience in data analysis, strong technical skills, and excellent communication abilities.
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
- Take full ownership of the analytics process - from project scoping and design through communicating findings to stakeholders
Preferred Qualifications
- You have worked on a cross-functional product team
- You are able to work fairly independently
- You can communicate clearly with your colleagues in different roles (PM, engineers, operational leads, senior management)
- You have run a bunch of experiments and know what to do when things do not go as planned
- You excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation
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
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