Senior Business Analyst

Moniepoint Inc. (Formerly TeamApt Inc.)

Senior Business Analyst at Moniepoint, shaping payment product growth through quantitative analysis and strategic collaboration. Responsible for user acquisition strategies and product engagement improvements.

Posted 7/23/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, statistical programming, and advanced analytics to drive product insights and business growth. Proficient in building and maintaining self-service dashboards and visualisation tools while collaborating effectively across teams.

Highest-signal resume keywords

SQL ExpertiseStatistical Programming (Python)A/B Testing ExperienceData Visualisation (Tableau, Looker)Statistical Modelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical ModellingData Requirements GatheringExperiment DesignData AnalysisMathematical ModellingClusteringSupervised LearningMultivariate TestingImpact Review

Soft Skills

CollaborationCommunicationRelationship Building

Tools & Technologies

TableauLookerPandasSciPyJupyter Notebooks

Industry Keywords

High-Scale Tech CompaniesTier-1 Consulting FirmsInvestment BanksDigital Products

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.