Graduate Data Analytics (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Graduate Data Analytics (Fintech): Building and optimizing high-quality data products to deliver key insights impacting the direction of , with an accent on data modeling, analytics tools, and ROI measurement. Focus on designing and implementing high-performance data models, translating complex business requirements into data insights, and continuously uncovering opportunities.
Location: London, UK. This role operates on a hybrid model, requiring three days per week in the office.
Company
provides a global network for digital payments, powering billions of transactions for major companies like eBay and Uber Eats, with London as its headquarters.
What you will do
- Design and implement high-performance, reusable data models within a modern data stack.
- Enable users to access data products via analytics tools.
- Collaborate with product managers, engineers, and analysts to translate business requirements into data insights.
- Continuously uncover insights, identify opportunities, and help measure ROI.
Requirements
- A degree in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Physics, Economics).
- Graduated by July 2026 or within the last 2 years.
- Proficiency in Python and SQL.
- Awareness and curiosity of how software is built.
- Strong problem-solving skills and attention to detail.
- Genuine interest in Fintech and Analytics.
- Ability to explain findings clearly to technical and non-technical peers.
Culture & Benefits
- Hybrid working model with three days per week in the London office.
- Real ownership and opportunities for significant impact and career growth.
- Access to an extensive learning experience through technical training and professional development.
- Networking events, mentoring, and social activities within a global Early Careers community.
- Inclusive environment that supports all backgrounds and identities.
- Support for accessibility adjustments during the hiring process and in the work environment.
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