9 часов назад
Data Analyst - Analytics Engineering (Fintech)
40 000 - 54 000€
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst - Analytics Engineering (Fintech) (SQL/dbt/Python): Building governed data models, scalable pipelines, AI-powered analytical workflows, and visualization tools for a consumer fintech platform with an accent on data mesh architecture, marketing analytics, and lifecycle metrics. Focus on designing agentic workflows, analyzing acquisition-to-monetization funnels, and leading experimentation that improves ROI and decision-making.
Location: Milan, Italy; hybrid with three days per week in the office (Tuesday, Thursday, and one additional day of choice). Extra remote time may be requested.
Salary: €40,000–€54,000 gross per annum, with final compensation based on experience and expertise.
Company
is building a financial platform that enables millions of users to pay, save, and invest.
What you will do
- Design robust data models and build pipelines for the Data Mesh layer within a federated data strategy.
- Develop AI-powered agentic workflows for data transformation, exploration, automation, and self-service analytics.
- Define key metrics and create dashboards and reports using tools such as Hex or Looker.
- Analyze acquisition, engagement, retention, and monetization data to identify patterns and improve marketing ROI.
- Partner with Marketing, Finance, Operations, and Product to translate technical findings into actionable recommendations.
- Lead the testing pipeline from opportunity identification and experiment design through recommendation delivery.
Requirements
- 5+ years of experience in data-related roles, including at least 3 years in high-volume or big data environments.
- Strong SQL, dbt, and Python skills.
- Hands-on experience with data modelling, ETL, data governance, and Data Mesh implementation at scale.
- Daily working knowledge of AI tools for analytics, automation, ad-hoc analysis, summaries, campaign suggestions, and business cases.
- Ability to lead cross-functional initiatives, solve ambiguous problems, and communicate evidence-based recommendations.
- Understanding of consumer lifecycle metrics and user economics, including acquisition, activation, retention, churn, ARPU, CAC, and LTV.
Nice to have
- Experience with Git and notebook-based analytics such as Jupyter.
- Basic to intermediate proficiency with Claude.
- Experience interacting with AI agents programmatically through APIs.
Culture & Benefits
- Private health insurance for employees and families, psychological support, and mental health workshops.
- Stock Option Plan and meal vouchers.
- Relocation support when moving countries.
- Professional development programs, internal mobility, and language courses.
- Unlimited PTO, flexible working hours, hybrid work, enhanced parental leave, and additional leave for child sickness.
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