As a Senior Data Analyst, you'll work within the HR Tech team, analyzing large datasets to drive improvements in People operations and communicating insights effectively to stakeholders.
Our mission
How you’ll help us achieve it 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 9 countries and are growing fast.
Our goal is to make Africa the first cashless continent and that's where you come in...
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 Data Analyst to join our People Tech team.
In this role, you’ll;
- Be embedded in the HR Tech team where you will work closely with senior People Leads, the wider People Ops teams and operational teams.
- Navigate large data sets to identify drivers that can improve People outcomes 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.
- Derive insights from People data, visualize and communicate these in ways that improve user and business outcomes.
- Analyze and mine data for trends and patterns with a focus on diversity, turnover, retention, talent acquisition, reward, and other areas of the business as required.
- Identify and communicate data issues/concerns to maximise data quality and improve insight.
- Help find, test and implement process improvements to make our operations more efficient.
- Ensure high standards of data privacy, accuracy, and quality are maintained.
- Oversee dashboard and data warehouse functionality, working closely with People Operations, IT, and data engineering teams to ensure data quality, data governance, and system integrity.
- Support People Tech in day to day adhoc requests and data change requests.
- This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, USA, Canada, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.
- Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers.
- Our salaries are competitive and are calculated using a transparent formula, paid in your local currency equivalent), plus a generous equity package.
- 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.
- Education and Experience
- 5+ years experience as a product analyst, analytics engineer, data scientist , hr data engineer or similar role.
- Experience working in large operational settings is ideal (example: support/call centers, product management, fleet management, supply chain operations, retail operations etc).
- Fluency in English. French is a plus.
- Technical skills
- Proficiency in statistical analysis, data engineering , data cleaning and preparation and data manipulation in Python.
- Advanced SQL skills (experience with dbt is a must-have). While data architecture is not a strong requirement, having experience in it will be helpful in this role.
- Proven expertise in discovery, hypothesis testing and inference over fuzzy problems and large data sets.
- Strong hands-on experience with visualization platforms (e.g. Tableau, PowerBI, Looker).
- Excellent communication skills. You’ll be working closely with operations leads so being able to communicate insights to non-technical stakeholders is a key skill we are looking for.
- Have worked on a cross functional product team.
- Are able to work fairly independently. This role is a senior role in an emerging team at Wave. An expectation is that you’ll be able to lead and run with a problem (with support of the broader team).
- Can communicate clearly with your colleagues in different roles (HR Leads, engineers, data scientists, operations 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.
- Have experience mentoring, training or coaching more junior analysts.
#LI-MM1
#LI-REMOTE
Our team
- We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon 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.
- We are on Y Combinator's top companies by revenue.
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.
Top Skills
Dbt
Looker
Power BI
Python
SQL
Tableau
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