BI Data Analyst

HFM

Business Intelligence Data Analyst at HFM ensuring data accuracy and providing actionable insights. Collaborating across teams to support decision-making processes with analytics in trading.

Posted 7/21/2026full-timeLarnaca • 🇨🇾 CyprusMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in SQL and Python for data analysis, with expertise in Power BI and DAX for developing BI dashboards and reports. Strong analytical and problem-solving skills, complemented by effective communication and collaboration abilities to support data-driven decision-making.

Highest-signal resume keywords

SQL ProficiencyPython Data AnalysisPower BI Dashboard DevelopmentDAX CalculationsData Warehousing and ETL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData AnalysisDAXData ModellingETL ProcessesData WarehousingOLAP ModellingBusiness IntelligenceExploratory Data Analysis

Soft Skills

Problem-SolvingAnalytical SkillsEffective CommunicationCollaboration

Tools & Technologies

Power BISQL Server Analysis Services (SSAS)Business Intelligence Tools

Industry Keywords

Financial ServicesBrokerageData GovernanceCompliancePrivacy Protocols

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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