BI Data Analyst
Summary
Analyzes financial trading data to create BI dashboards and reports using SQL, Python, Power BI, and SSAS, translating insights into business decisions for a multi-asset broker.
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.
The BI Data Analyst plays a key role in connecting business
needs with data-driven insights. This position involves developing a strong
understanding of how data flows across systems, from its source to its
transformation into meaningful information.
A main responsibility is to ensure data accuracy, interpret trends, and provide
actionable insights that support decision-making across the organization. The
analyst is expected to go beyond standard reporting by identifying
opportunities to improve efficiency, optimize performance, and support business
growth.
Your role at HFM:
- 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.
Considered a Plus
- 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.
Benefits
- Hybrid Work Model (2 days working from home)
- Monthly Wolt Vouchers
- Comprehensive Health & Life Insurance
- Provident Fund (Upon completion of the trial period)
- Summer Short Fridays (August)
- Additional Paid Annual Leave (up to 30 days, based on years of service)
- Birthday Leave
- Training & Education Allowance
- Udemy Business access
- Gym Membership
- Referral Bonus Program
Additional Support
- Visa Sponsorship and Relocation Assistance
Ready to Kick Off an Exceptional Career?
Join HFM and shape your future with a company that values growth, innovation and people.
Sounds like you? Let’s write the next chapter together.
All Applications will be handled with the strictest confidentiality.