10 часов назад
Senior Business Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Business Analyst (Fintech): Designing and scaling analytics for payment growth products with an accent on product metrics, experimentation, dashboards, and quantitative modelling. Focus on translating complex business questions into actionable insights, evaluating post-launch impact, and applying A/B tests, clustering, and supervised learning to improve acquisition, retention, and engagement.
Location: Remote, London, United Kingdom
Company
is an African financial platform providing payments, banking, credit, cross-border, and business management tools for businesses and individuals.
What you will do
- Partner with product management, business development, and data engineering teams to identify growth problems and improve product metric visibility.
- Translate complex product and business questions into clear, actionable insights.
- Build, maintain, and scale self-service dashboards and custom visualisation tools.
- Own end-to-end analytics for growth products, from data requirements and opportunity sizing to experiment design and post-launch impact reviews.
- Build trusted working relationships across technology, business, product, and growth teams.
- Apply A/B testing, multivariate testing, clustering, supervised learning, and other statistical modelling techniques to solve business problems.
Requirements
- 3–4 years of professional experience in a quantitative analysis role within a high-scale technology company, tier-one consulting firm, or investment bank.
- Excellent SQL skills; SQL knowledge will be assessed during the interview process.
- Practical experience designing, running, and analysing digital product experiments, including A/B and multivariate tests.
- Hands-on experience with Tableau or Looker and other visualisation tools.
- Experience applying statistical modelling and advanced analytics to generate product-shaping insights.
- Strong statistical programming skills in Python, with familiarity with Pandas, SciPy, and Jupyter notebooks; clear professional spoken and written English is required.
Nice to have
- Experience or knowledge in product management, analytics, marketing, data science, design, or customer success.
Culture & Benefits
- People-first culture focused on well-being, respect, inclusion, and open participation.
- Learning and development environment with knowledge sharing, training, and regular internal technical talks.
- Salary, pension, health insurance, annual bonus, and additional benefits.
Hiring process
- Preliminary phone call with a recruiter.
- Panel interview with a member of the hiring team.
- Behavioural and technical interview with a member of the Executive team.
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