Chipper Cash is the largest mobile cross-border money transfer platform in Africa. We are a passionate team, dedicated to expanding financial inclusion in some of the global regions most in need of accessible, interoperable, easy-to-use, and affordable financial services.

  • We are a small team. You will be encouraged to engage in high-level technical decision making, and there will be a lot of room for growth for early hires as the company continues to expand.
  • The Chipper team is truly global on a daily basis, you might be interacting with team members in San Francisco, Los Angeles, New York City, London, Accra, Lagos, and Nairobi
  • You will not be micromanaged. We have an engineering team culture centered on open-communication, honest feedback, and personal responsibility.

The Team

The Intelligence team is responsible for developing data-driven engineering solutions across domains such as Fraud/Risk, Identity, Product, and Growth. As a key founding member of this team, you will be expected to help shape the team’s culture, best engineering practices, and set direction/focus for tasks and execute them while being a supportive teammate.

We are looking for analysts that can quickly answer data requests, create accessible and clean reports, and are proactive in suggesting process improvements. Generally, we are looking for motivated and curious learners that are ready to roll up their sleeves and enjoy solving problems proactively.

What You Should Have

In a data analyst role, the most important skill will be being able to quickly and efficiently analyze large volumes of data, and to translate open-ended questions from various teams into actionable data analysis tasks and deliverables.

As an early member of the team, you'll be expected to champion data driven practices within the organization, and be adept at communicating with non-technical stakeholders to help unlock value in our data. You'll additionally be a resource to help folks conduct clean A/B experiments, and perform N-order data analysis that will help create different narratives and recommendations to teams.

  • Strong background in SQL data analysis
  • Experience with a BI tool (Metabase, Looker, Tableau, Mode etc.)
  • Great interpersonal skills (especially in communicating project requirements and results with non-technical team members)
  • Background/experience in financial data analysis
  • Experience in data analysis using Python
  • Experience with data visualization software
  • Solid understanding of statistics and ability to apply statistical tests and build forecasting models
  • Automating / scripting data analysis work

What You’ll Work On

Here are some examples of projects that you might work on:

  • Fraud analysis and prevention Working with various teams to help to uncover fraudulent transactions and users within the Chipper platform.
  • User Growth Analysis Collaborating with the growth team to generate and analyze user growth metrics.
  • Anti-Money Laundering - Building complex queries and rule-sets to detect suspicious transaction patterns and user networks within the Chipper platform.
  • Revenue Analysis - Working with the business team to report, analyze and model ongoing and future revenue streams.

 

Next Steps

If you feel you are a fit, please apply because we would love to hear from you. It means a lot to us that you have taken the time to read through our job description so thank you for your time.  We wish you all the best in your job search. 

We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. Chipper Cash is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. If you have a disability or special need that requires accommodation, please let us know. 

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