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Moniepoint

Senior Business Analyst

Moniepoint is hiring a Senior Business Analyst for a remote role open to applicants in Spain. Level rates it ; you can apply on Moniepoint.

Level's read on this job

  • On Level's scale, this business analyst role is Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include SQL, data analysis and statistical modelling.
  • Level classifies it as a senior role.
  • Level lists 144 other open roles at Moniepoint.

AI in this role

Senior business analyst using quantitative analysis, SQL, and statistical modeling to drive product growth and metric visibility.

sql
data-analysisstatistical-modellinga-b-testingdashboard-creation

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.

How we rate this

Senior Business Analyst at Moniepoint rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisStatistical ModellingA B TestingDashboard CreationSQL

Also common in business analyst jobs at this level

Pay

Typical business analyst job
$104k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where statistical modelling was part of your work. What did you do?
  3. Tell me about a project where a b testing was part of your work. What did you do?
  4. Tell me about a project where dashboard creation was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Statistical Modelling, A B Testing, Dashboard Creation, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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