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2 дня назад

BI Data Analyst (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
Cyprus
Релокация
Cyprus
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
BI Data Analyst (SQL/Power BI): Cleaning and analysing large datasets, developing BI dashboards, and translating findings into actionable insights for financial-services stakeholders with an accent on data modelling, reporting, and trading analytics. Focus on building Power BI and SSAS solutions, documenting data flows, and supporting data-driven decisions across business and technical teams.

Location: Larnaca, Cyprus; hybrid work model with 2 days working from home

Company

An international multi-asset broker delivering trading tools, platforms, and financial-market services to traders worldwide.

What you will do

  • Clean, process, and analyse large datasets using SQL and Python for reporting, analytics, and machine learning initiatives.
  • Perform exploratory data analysis to identify trends, patterns, and key business metrics.
  • Translate analytical findings into actionable recommendations for business stakeholders and collaborate with data scientists and other teams.
  • Design, develop, and maintain Power BI dashboards, reports, DAX calculations, and SSAS models.
  • Document BI models, queries, data flows, and integration processes.
  • Guide business users on BI tools, dashboards, and data-driven decision-making practices while following data governance and privacy protocols.

Requirements

  • University degree in Computer Science, Data Science, Finance, Mathematics, or a related field.
  • Experience in financial services or brokerage environments.
  • Proficiency in SQL, data modelling, data warehousing, and ETL processes.
  • Experience creating dashboards, reports, and visualisations in Power BI, with working knowledge of DAX.
  • Experience with SQL Server Analysis Services for OLAP modelling.
  • Excellent command of English and legal authorisation to work in Cyprus are required.

Nice to have

  • Knowledge of trading platforms, trade lifecycle, order execution, CFD mechanics, margin, leverage, and risk management.
  • Familiarity with MetaTrader MT4/MT5 and real-time trading data.
  • Experience with Python-based data analysis, machine learning, or trading-behaviour analytics.
  • Awareness of regulatory and compliance requirements.
  • Knowledge of Microsoft Fabric or other cloud-based data solutions.

Culture & Benefits

  • Hybrid work model with 2 days working from home.
  • Health and life insurance, plus a provident fund after the trial period.
  • Additional paid annual leave of up to 30 days based on years of service and birthday leave.
  • Monthly Wolt vouchers, gym membership, and training and education allowance.
  • Udemy Business access, summer short Fridays in August, and a referral bonus program.
  • Visa sponsorship and relocation assistance are available.

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