The Role
Clean and analyze large datasets using SQL and Python, conduct exploratory analysis, and translate findings into business insights. Develop and maintain Power BI dashboards, reports, DAX calculations, and SSAS models. Document BI processes and data flows, support data governance, and train business users on BI tools and best practices. The role also provides recommendations to improve efficiency and business performance, with a focus on financial services and trading data.
Summary Generated by Built In
HFM is an internationally acclaimed multi-asset broker,
delivering cutting-edge trading tools, platforms, and conditions to
traders worldwide. We are committed to innovation, transparency, and
excellence in the financial markets.
As we
continue to expand, we are seeking a driven and strategic Business Intelligence Data Analyst to join our team.
Responsibilities:
- Clean, process, and analyse large datasets using SQL and
Python to support reporting, analytics, and machine learning initiatives.
- Perform exploratory data analysis to identify trends,
patterns, and key metrics.
- Translate analytical findings into actionable insights for
business stakeholders, collaborating with data scientists, analysts, and other
teams to support strategic decisions.
- Design, develop, and maintain BI dashboards, reports, and
DAX calculations in Power BI and SSAS.
- Document data flows and processes to ensure accurate and
timely integration.
- Create and maintain technical documentation for BI models,
queries, and data processes, ensuring clarity and usability.
- Support business users by providing guidance and training on
BI tools, dashboards, and best practices for data-driven decision-making.
- Provide data-driven recommendations to improve efficiency,
optimize performance, and support business decisions.
- Follow data governance policies, ensuring compliance with
access, security, 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 and
understanding of data modelling concepts.
- Experience with data warehousing
and ETL processes.
- Proficiency in Power BI for
creating dashboards, reports, and visualisations.
- Working knowledge of DAX for
business calculations, measures, and KPIs.
- Experience with SQL Server
Analysis Services (SSAS) for OLAP modelling.
- Strong problem-solving and
analytical skills.
- Effective communication and
collaboration abilities.
- Excellent command of English
language.
Nice to have:
- Knowledge of trading platforms
and understanding of trade lifecycle and order execution processes.
- Familiarity with MetaTrader
(MT4/MT5) platforms and related data structures.
- Understanding of CFD trading
mechanics, including margin, leverage, and risk management.
- Experience working with real-time
trading data and event-driven analytics.
- Ability to interpret trading
performance metrics and generate actionable insights.
- Awareness of regulatory
requirements and compliance considerations.
- Familiarity with Python for data
analysis and machine learning.
- Exposure to data science projects
related to trading behaviour analysis.
- Knowledge of cloud-based data
solutions such as Microsoft Fabric.
Resumes must be submitted in English.
Applicants must be eligible or have legal authorization to work in the country where the position is based.
Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
- Hybrid
Work Model (2 days working from home)
- Comprehensive
Health plan starting from the first day of employment
- Pension
plan
- 13th
salary payment
- Additional
Paid Annual Leave (up to 30 days, based on years of
service)
- Up
to 5 Carry over annual leave days from previous year to the next
one
- Birthday
Leave
- Lifelong Learning
Allowance & Paid Educational Leave
- Monthly
Wolt Vouchers
- Monthly
meals & treats at the office
- Participation
in company's Group Discount Scheme
- Gym
Membership
- Referral
Bonus Program
- Summer
Short Fridays (August)
Additional
Support
- Visa
Sponsorship and Relocation Assistance
Sounds
like you? Let’s write the next chapter together!
All
Applications will be handled with the strictest
confidentiality.
Skills Required
- University degree in Computer Science, Data Science, Finance, Mathematics, or a related field
- Experience in financial services or brokerage environments
- Proficiency in SQL and understanding of data modeling concepts
- Experience with data warehousing and ETL processes
- Proficiency in Power BI for dashboards, reports, and visualizations
- Working knowledge of DAX for business calculations, measures, and KPIs
- Experience with SQL Server Analysis Services for OLAP modeling
- Strong problem-solving and analytical skills
- Effective communication and collaboration abilities
- Excellent command of English
- Knowledge of trading platforms and trade lifecycle and order execution processes
- Familiarity with MetaTrader MT4 or MT5 platforms and related data structures
- Understanding of CFD trading mechanics, including margin, leverage, and risk management
- Experience with real-time trading data and event-driven analytics
- Ability to interpret trading performance metrics and generate actionable insights
- Awareness of regulatory requirements and compliance considerations
- Familiarity with Python for data analysis and machine learning
- Exposure to trading behavior analysis data science projects
- Knowledge of cloud-based data solutions such as Microsoft Fabric
- Eligibility or legal authorization to work in the country where the position is based
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The Company
What We Do
HFM is an internationally acclaimed, regulated multi-asset broker serving retail and institutional clients worldwide. The company provides online trading services and platforms across forex, contracts for difference (CFDs), futures, commodities, stocks, and indices. Its offering emphasizes competitive trading conditions, innovative tools, partner support, and access to multiple global markets through its financial technology infrastructure, helping traders participate in global markets.
