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Remote · Data Analyst

Senior Business Analyst

Moniepoint · Remote, Spain · Spain

Remote Posted Open until 18 Oct 2026
  • Remote Remote, Spain — job location

The job, in the employer's words

Who we are

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. 

As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

About the role

The Senior Business Analyst plays a key role in shaping the growth and success of Moniepoint’s payment products. You'll design, test, and implement strategies that improve user acquisition, boost retention, and elevate product engagement. This role blends deep quantitative analysis with collaborative, strategic thinking. You'll partner with teams across the business to ensure our payment solutions meet real market demands and grow efficiently as we scale. Ultimately, you'll make sure our products not only attract users but also scale sustainably to create financial happiness for everyone.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Key Responsibilities

  • Partner closely with product managers, business development, and data engineering teams to help our growth team uncover problems and make product metrics highly visible.
  • Translate complex product and business questions into simple, actionable insights.
  • Build, maintain, and scale self-service dashboards and custom visualisation tools.
  • Own end-to-end analytics for our growth products—from gathering data requirements and estimating opportunity sizes to designing experiments and conducting post-launch impact reviews.
  • Cultivate trusted relationships across teams, acting as a collaborative link between technology, business, and product.
  • Apply advanced mathematical and statistical modelling techniques (including A/B tests, multivariate testing, clustering, and supervised learning) to solve practical business problems that drive high-impact results.

Qualifications

  • 3 to 4 years of professional experience (excluding academic projects and internships) in a quantitative analysis role within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands.
  • Excellent SQL skills (which we will test during our interview process).
  • Practical experience designing, running, and analysing experiments on digital products (such as A/B and multivariate tests).
  • Hands-on experience with popular visualisation tools like Tableau or Looker.
  • Experience applying statistical modelling and advanced analytics to deliver practical, product-shaping insights.
  • Strong skills in statistical programming (Python) and familiarity with tools like Pandas, SciPy, and Jupyter notebooks.
  • Clear, professional spoken and written English.

Additional skills

  • Product management
  • Analytics
  • Marketing
  • Data Science
  • Design
  • Customer Success

What we can offer you

  • Culture - We put our people first and prioritise every team member's well-being. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
  • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
  • Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

  • A preliminary phone call with one of our recruiters.
  • A panel interview with a member of the hiring team.
  • A behavioural and technical interview with a member of the Executive team

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Requirements mentioned

  • 3 to 4 years of professional experience (excluding academic projects and internships) in a quantitative analysis role within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands.
  • Excellent SQL skills (which we will test during our interview process).
  • Practical experience designing, running, and analysing experiments on digital products (such as A/B and multivariate tests).
  • Hands-on experience with popular visualisation tools like Tableau or Looker.
  • Experience applying statistical modelling and advanced analytics to deliver practical, product-shaping insights.
  • Strong skills in statistical programming (Python) and familiarity with tools like Pandas, SciPy, and Jupyter notebooks.
  • Clear, professional spoken and written English.
  • Product management
  • Analytics
  • Marketing
  • Data Science
  • Design
  • Customer Success

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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