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Jobs(30,362)/Business Intelligence Analyst Role(145)/Moniepoint (20) - Senior Business Analyst
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Moniepoint

Moniepoint - Senior Business Analyst

Remote - Poland5d ago
RemoteSeniorEMEABankingHealth InsuranceBusiness Intelligence AnalystPythonPandasJupyterLearning & DevelopmentSQLTableauLookerCustomer SuccessBusiness Development

Requirements

• 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 • 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

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.

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