Growth Data Analyst at MONIEPOINT | Torre
Growth Data Analyst
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MONIEPOINT

Growth Data Analyst

MONIEPOINT
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Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Hybrid (Madrid, Madrid, Spain)
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Posted over 2 years ago

Requirements and responsibilities

- Moniepoint is a leading digital financial services platform for businesses in emerging markets - Moniepoint processes the majority of the POS transactions in Nigeria, processing over $170 billion in annualized TPV - Recognized by the CBN as the most inclusive payment platform in Nigeria in 2022 Moniepoint is looking for a Growth Data Analyst to work closely with product managers, business, development, and data engineering teams. The role involves translating product and business questions into analysis and actionable insights, developing and maintaining scalable visualization tools and dashboards, and applying advanced mathematical and statistical modeling techniques to solve product and business problems. The ideal candidate should have 3-4 years of professional experience in a quantitative analysis role, excellent SQL skills, experience in designing and analyzing experiments in digital products, knowledge of visualization tools, and experience in statistical programming with Python. Moniepoint offers the opportunity to drive financial inclusion, work on innovative projects, and be part of a dynamic and collaborative environment with flexible work arrangements and continuous learning opportunities. Responsibilities: - Work closely with product managers, business, development, and data engineering teams to guide the marketing and growth team - Translate product and business questions into analysis and actionable insights - Develop and maintain scalable and self-service visualization tools and dashboards - Own end-to-end everything analytics related to Marketing and Growth Product - Build robust relationships with stakeholders and act as a strategic and supportive link between technology, business, and product - Apply various advanced mathematical and statistical modeling techniques and analyses to solve product and business problems
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