Senior Data Analyst

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 

Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.

We are looking for an experienced Senior Data Analyst to join our Payments team. In this role, you will collaborate closely with the payments product manager and cross-functional teams to analyze user & merchant behavior within our apps, assess the impact of features and partner launches, and provide answers to key questions about how to unlock growth for the Payments product.

In this role, you’ll;

• Be embedded closely with our operations and product teams: deriving insights from customer and merchant data, visualizing those, 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 full 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 up to  $134,400 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.
• Fluency in English. French is a plus.
• Exceptional at identifying growth opportunities through actionable analysis and partnering closely with business and product leaders to drive their implementation.
• 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. 

You might be a good fit if you 

• Are a self-starter who excels at exploring problems and collaborating closely with operations teams to drive growth through data. 
• Have exce