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4 месяца назад

Senior Data Analyst (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c2
Страна
Cyprus/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, product profitability, and acquisition funnel optimization. Focus on developing predictive models, data visualization, and mentoring analysts to enhance data-driven business initiatives.

Location: Onsite in Limassol, Cyprus

Company

hirify.global is a multi-regulated global broker offering CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Exchange Traded Derivatives, with offices worldwide and a strong 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 datasets to identify trends and support strategic initiatives.
  • Develop and maintain data models, dashboards, and visualizations for business reporting.
  • Lead analytics projects on product profitability, client lifecycle, and acquisition funnel optimization.
  • Mentor internal analysts and promote data governance best practices.
  • Stay updated with industry trends and emerging data analytics technologies.

Requirements

  • Location: Must be onsite in Limassol, Cyprus
  • Bachelor's degree in quantitative fields and minimum 3 years senior data analyst experience, preferably in Finance/FX.
  • Strong analytical skills, advanced SQL, Power BI, DAX, and data modeling expertise.
  • Excellent English communication skills (written and spoken).
  • Experience with predictive modeling and data governance.
  • Project management and ability to present complex data to non-technical audiences.

Nice to have

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

Culture & Benefits

  • Competitive remuneration including 13th salary and discretionary bonuses.
  • Employee training and development programs.
  • Medical insurance covering outpatient, inpatient, and dental care.
  • Team-building events and welfare investment plans.
  • Birthday and loyalty benefits, plus collaboration with SportBenefit.

Hiring process

  • HR interview.
  • Interview with hiring managers.
  • Psychometric test.
  • Final interview with top management.

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