19 часов назад
Data Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Fintech): Analyzing large volumes of user interaction data for Open Banking solutions with an accent on A/B testing, BI reporting, and data-driven insights. Focus on formulating hypotheses, optimizing product processes, and translating complex analytical data into actionable business recommendations.
Location: Fully Remote (Remote-first setup with full flexibility)
Company
is building seamless Open Banking solutions to make payments smarter, faster, and safer.
What you will do
- Analyze large volumes of user interaction data across banking products to uncover actionable insights.
- Create and maintain regular analytical and management reporting for stakeholders.
- Formulate and validate hypotheses through A/B testing and experimental analysis.
- Collaborate with product managers, data engineers, and account managers to solve product challenges.
- Contribute to the strategic launch of new, high-potential business initiatives.
Requirements
- Advanced SQL skills for working with large datasets and writing optimized queries.
- Proficiency in Python and hands-on experience with A/B testing frameworks.
- Experience building reports in BI tools, preferably Power BI.
- Ability to translate complex analytical insights into actionable recommendations.
- Russian: native or fluent.
- English: Upper-Intermediate (B2) or higher.
Nice to have
- Experience with Git.
- Knowledge of Machine Learning.
- Work experience in Fintech or Payments.
Culture & Benefits
- Remote-first setup with full flexibility to work from anywhere.
- Hardware provision and a dedicated budget for home office setup.
- Full coverage for professional trainings, courses, and certifications.
- Dedicated wellbeing budget for fitness, mental health support, and wellness activities.
- Generous time-off policy to ensure proper rest and work-life balance.
Hiring process
- CV review followed by an introductory call with a recruiter.
- Technical interview with the Head of BI & Analytics.
- Final conversation with the HR Director.
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