2 дня назад
BI Data Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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