Data Analyst

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures.

In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents.

FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company’s mission of reshaping financial services for underserved communities. To gain deeper insights into Fairmoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch an informative video. 

About the Role
 As a Data Analyst, you will leverage your analytical expertise to support process creation, optimize workflows, build operational dashboards, and develop monitoring tools. You will play a critical role in shaping and refining this exciting and rapidly growing line of business.
Key Responsibilities

• Understand the business: Develop a deep understanding of end-to-end processes. This knowledge will guide your work, ensuring awareness of potential downstream impacts and second-order effects.
• Write queries: Use SQL extensively to generate and optimize processes, deliver precise data to teams, and transform outputs into actionable insights. Establish error-flagging and discrepancy-checking mechanisms to maintain data integrity.
• Build dashboards: Design and maintain operational dashboards for case-level deep dives, as well as analytical dashboards to inform leadership decisions and guide team performance.
• Enable automation: Streamline workflows by leveraging SQL and your analytical skills to automate repetitive or redundant tasks, driving efficiency across teams.
• Ad-hoc analysis: Provide analytical support for ad-hoc requests, including risk assessments, portfolio reviews, performance tracking, and process improvements.
• Lead by example: Take ownership of business outcomes by developing end-to-end knowledge and delivering solutions that serve as a benchmark for excellence across the team.

• 2–3+ years of experience as a Data Analyst with regular SQL use.

• A bachelor’s degree in Mathematics, Statistics, Computer Science, or another data analysis–related field.
• High-level proficiency in SQL.
• Strong expertise in spreadsheets (Excel/Google Sheets).
• Hands-on experience with database management.
• Previous experience collaborating with a sales team in a fast-paced environment.

• Private health insurance.
• Pension plan.
• Paid time off.
• Hybrid work model.
• Access to training and development programs.

Recruitment Process

1. Screening call with a member of the Talent Acquisition team.
2. Technical interview with the Sales & Growth Strategy Lead.
3. Final interview.