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Data Analyst (Fintech)

Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Estonia
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
Data Analyst (Fintech): Analyzing large and complex datasets to provide actionable insights for stakeholders and product owners with an accent on product performance, client behavior, and acquisition funnels. Focus on building Power BI dashboards, conducting cohort and retention analyses, and translating ambiguous business questions into structured analytical recommendations.

Location: Tallinn, Estonia

Company

hirify.global is an award-winning, multi-regulated broker providing access to CFDs on Forex, Stocks, Indices, Commodities, and Cryptocurrencies.

What you will do

  • Collaborate with stakeholders and Product Owners to translate business requirements into data-driven decision-making tools.
  • Analyze complex datasets to identify trends and patterns related to client lifecycle and product performance.
  • Develop and maintain dashboards and visualizations using Power BI to communicate findings effectively.
  • Perform cohort analysis, funnel analysis, segmentation, and KPI performance monitoring.
  • Ensure data accuracy and consistency through rigorous validation and quality checks.
  • Partner with the BI team to improve reporting processes and overall analytical capabilities.

Requirements

  • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 2–4 years of experience as a Data Analyst, preferably within the Finance or FX industry.
  • Strong SQL skills and a solid understanding of dimensional modeling and star schemas.
  • Working knowledge of DAX and Power BI data modeling principles.
  • Ability to independently translate business questions into actionable analytical approaches.
  • Excellent command of English, both written and spoken

Nice to have

  • Proficiency in Python or R for data analysis and automation.
  • Experience with statistical analysis and A/B testing concepts.
  • Basic knowledge of machine learning and its business applications.
  • Familiarity with Databricks or similar cloud platforms.
  • Knowledge of Agile methodologies and DataOps principles.

Culture & Benefits

  • Opportunities for professional growth via the Employee Training & Development program.
  • Competitive remuneration package based on experience.
  • Health or sports compensation through Stebby or Confido.
  • Frequent team bonding events and loyalty benefits.
  • Work environment built on trust, transparency, and high standards.

Hiring process

  • Initial interview with HR.
  • Technical assessment task.
  • Interview with hiring managers.
  • Final interview with top management.

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