Our mission
We're making Africa the first cashless continent.
In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.
We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across six countries and are growing fast.
Our goal is to make Africa the first cashless continent and that's where you come in.....
How you’ll help us achieve it
We are looking for an experienced Senior Data Analyst to join our User team. In this role, you will collaborate closely with the product manager and cross-functional teams to analyze user behavior within the app, assess the impact of features and changes, and provide answers to key questions about our user base. This Senior Data Analyst position is equivalent to a Data Scientist in terms of the level of work and responsibility.
In this role you will
- Be embedded closely with our operations and product teams: deriving insights from customer, merchant and agent data, visualizing data, and working with operations leads and product managers to improve user and business outcomes.
- Navigate large data sets to identify growth drivers and generate testable hypotheses.
- Design, develop, implement and analyze experiments related to product features and operational processes.
- Take ownership of the analytics process - from project scoping and design through communicating findings to stakeholders.
- Support building up our data infrastructure together with our engineering team.
- You may rotate to other product teams over time.
Key Details
- You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access.
- Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $800 to meet with coworkers.
- Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level, we offer a salary of $134,400-$155,600 USD (paid in your local currency equivalent), plus a generous equity package.
- We run performance reviews twice a year and award bonuses or promotions to strong performers who have been with the company for more than six months.
- Major 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.
Requirements
- Education and Experience
- Bachelor's degree or Master's in a quantitative field such as Statistics, Mathematics, Economics, Applied Psychology, Quantitative Social Science, Computer Science or a related discipline.
- 5+ years experience as a data analyst, data scientist or similar role.
- Strong analytical thinking and experience extracting insights using a statistical approach.
- Experience running A/B tests and experiments.
- Experience working with data visualization platforms (e.g. Tableau, PowerBI, Looker).
- Experience collaborating with and supporting cross-functional teams on data analysis and execution of experiments.
- Fluent in English, French is a plus.
- Technical skills
- Strong SQL skills with expertise in querying, manipulating and analyzing data.
- Proficiency in statistical analysis, data cleaning and preparation and data manipulation in Python.
- Familiarity with data visualization libraries.
- Bonus points if you have
- Advanced knowledge of A/B testing and experimental design including sampling, randomisation, stratification, and clustering.
- Advanced knowledge of statistical methods for analyzing experiments (such as regression modeling and heterogeneous treatment effects analysis).
- Advanced knowledge of statistical methods for causal inference with quasi-experimental and time series data (such as propensity score matching, nearest neighbor matching, difference-in-differences, instrumental variable analyses, and structural equation modeling, and other time series methods).
- Experience in building machine learning infrastructure and developing/maintaining models in production.
- Experience with statistical methods for network analysis.
- Experience leading a team of data analysts and/or scientists.
You might be a good fit if you
- Are proficient in SQL and Python.
- Are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data.
- Have excellent focus, prioritizing your research and work using an iterative approach (you know when a project is good enough to stop, and you rarely get lost in details).
- Are able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data.
- You excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation.
Our team
- We have a rapidly growing in-country team in Senegal, Côte D'Ivoire, Mali, Burkina Faso, Gambia, and Uganda, plus remote team members spread across the world.
- We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most.
- We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production.
- We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa.
- In 2022, we were on Y Combinator's top 50 companies by revenue.
How to apply
Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role.
We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals.
Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
