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Senior Data Analyst

Moniepoint Inc.

Job Type: Full Time, Remote
Qualification: BA/BSc/HND
Experience: 3–4 years
Location: Lagos
Job Field: Data, Business Analysis, AI

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About the Role

Moniepoint Inc. is seeking a Senior Data Analyst to drive the growth and success of its payment products. This role focuses on developing data-driven strategies that enhance user acquisition, retention, and engagement. The ideal candidate will combine strong analytical skills, strategic thinking, and cross-functional collaboration to ensure payment solutions meet market demands while supporting the company’s business objectives. You will play a critical role in ensuring that products attract users and scale efficiently as the company grows.

Key Responsibilities

  • Collaborate with product managers, business teams, development, and data engineering to guide sales, marketing, and growth teams in problem discovery and monitoring of product metrics and KPIs.
  • Translate business and product questions into actionable insights through data analysis.
  • Develop and maintain scalable self-service dashboards and visualization tools.
  • Lead analytics for Marketing and Growth Product, managing the full product development cycle from data requirement gathering, opportunity sizing, experimentation, to post-launch impact analysis.
  • Build strong relationships with stakeholders, acting as a strategic link between technology, business, and product teams.
  • Apply advanced statistical modeling and data science techniques (A/B testing, multivariate testing, clustering, supervised learning) to solve high-impact product and business challenges.

Qualifications

  • 3–4 years of professional experience in a quantitative analysis role at top-tier companies (consulting, investment banking, or tech companies).
  • Advanced SQL skills.
  • Experience in designing and analyzing experiments in digital products (A/B testing, multivariate testing).
  • Proficiency in data visualization tools such as Tableau, Looker, or similar.
  • Hands-on experience with statistical modeling and advanced analytics for product insights.
  • Proficient in Python programming and data analysis libraries (Pandas, SciPy, Jupyter/iPython notebooks).
  • Excellent written and spoken English.

Additional Skills

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

If you’re interested in this role, check out more information on the official website And apply now!

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