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4 месяца назад

Senior Data Analyst (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c2
Страна
Poland/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Analyst (Fintech): Analyze and transform complex financial data into actionable insights to support strategic decisions in a leading FX firm with an accent on client lifecycle analysis, profitability, and acquisition funnel optimization. Focus on developing predictive models, data visualization, and mentoring analysts while working in a hybrid setup in Warsaw.

Location: Hybrid in Warsaw, Poland

Company

hirify.global is a multi-regulated broker offering a wide range of asset classes including Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Exchange Traded Derivatives, with offices globally and a focus on trust, transparency, and diversity.

What you will do

  • Collaborate with stakeholders and product owners to understand data needs and deliver actionable insights.
  • Analyze large complex data sets to identify trends and patterns.
  • Develop and maintain data models, dashboards, and visualizations.
  • Lead analytics projects on product profitability, client lifecycle, and acquisition funnel optimization.
  • Mentor analysts and promote data governance and analytical best practices.
  • Stay updated with industry trends and emerging data analytics technologies.

Requirements

  • Location: Hybrid role based in Warsaw, Poland
  • Bachelor's degree in quantitative field and minimum 3 years senior data analyst experience, preferably in Finance/FX.
  • Strong analytical skills, advanced SQL, Power BI, and data modeling expertise.
  • Excellent English communication skills (written and spoken).
  • Project management experience and ability to develop predictive business models.
  • Knowledge of data governance, data lineage, and metadata management.

Nice to have

  • Experience with statistical analysis, hypothesis testing, and machine learning.
  • Proficiency in Python or R for data manipulation.
  • Familiarity with Agile and DataOps principles.
  • Knowledge of financial data protection regulations.

Culture & Benefits

  • Global fast-growing company with career growth opportunities.
  • Attractive remuneration based on qualifications and experience.
  • Employee training and development programs.
  • Health insurance and hybrid work flexibility.
  • Team-building events and birthday/loyalty benefits.

Hiring process

  • First interview with hiring managers or HR call.
  • Psychometric test.
  • Final interview with top management.

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