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Wave Mobile Money

Senior Data Analyst

Posted 6 Hours Ago
Be an Early Applicant
5 Locations
Senior level
5 Locations
Senior level
As a Senior Data Analyst, you will derive insights from data, improve operations, conduct experiments, and communicate findings to stakeholders, collaborating with product teams.
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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 product teams. In this role, you’ll;

  • 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.
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 $1,200 to meet with coworkers.
  • Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to  $136,100 USD (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.
  • We’re hiring for multiple Senior Data Analyst roles across different functions (Finance, Customer Support). Your final scope and responsibilities will be aligned to the team you join, and clearly outlined in your offer.
Requirements
  • Education and Experience
    • 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. French is a plus.
  • Technical skills
    • Strong SQL skills (experience with dbt is a plus). While data architecture is not a strong requirement, having experience in it will be helpful in this role.  
    • 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. 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. 
You might be a good fit if you 
  • You have worked on a cross-functional product team.
  • You are able to work fairly independently. This role is a senior role in one of the fastest-growing parts of Wave. An expectation is that you’ll be able to lead and run with a problem (with the support of the broader team).
  • 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. 

#LI-REMOTE


Our team
  • We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The 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.
  • We are on Y Combinator's top 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.

Top Skills

Dbt
Looker
Periscope
SQL
Tableau

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