#HF80703 Τύπος: Πλήρης Απασχόληση

We are searching for an enthusiastic and committed BI Analytics Engineer to join our dynamic team at HFM.

This position is responsible for transforming raw data into well-structured, analytics-ready datasets that BI teams and business stakeholders can use for reporting and decision-making. This role may also support data science initiatives. This can include tasks such as preparing and structuring data for machine learning models, performing feature engineering, and ensuring that predictive analytics have access to clean and well-organized datasets.

Your role at HFM:

• Design, develop, and optimise data models to support analytics, reporting, and machine learning workflows, ensuring seamless integration with BI infrastructure.
• Utilise SQL and Python to clean, process, and analyse large datasets efficiently, supporting both analytics and machine learning processes.
• Develop, optimise, and maintain ETL pipelines for seamless data extraction, transformation, and integration.
• Perform exploratory data analysis to identify trends, patterns, and insights that inform strategic initiatives, while assisting in preprocessing and transforming data for machine learning models.
• Develop advanced DAX measures for business calculations, optimise report performance, and enhance analytical capabilities in Power BI.
• Create interactive dashboards and visualisations in Power BI, incorporating KPIs, business calculations, and data aggregations.
• Support the integration and deployment of data science models into BI workflows, ensuring smooth data flow and system scalability.
• Ensure data governance, integrity, consistency and scalability to support data quality, security, and compliance across all models including those used for machine learning and analytics.
• Define and manage role-based access controls to protect sensitive data and ensure appropriate user access.
• Work closely with data engineering teams to improve data models, processing workflows, and overall infrastructure.
• Collaborate with data scientists, analysts, and business stakeholders to translate data insights into actionable business strategies.
• Create and maintain technical documentation for BI models, queries, and processes.
• Train business users on BI tools, best practices, and data-driven decision-making.

What You Bring:

• BA/BSc in Computer Science, Data Science, or a related field.
• 3+ years' experience in designing, developing, and implementing data solutions.
• Previous experience in the FX industry is required.
• Proficiency in SQL scripting, with expertise in optimising complex SQL queries for performance and scalability.
• Strong skills in designing and implementing data models (e.g., star or snowflake schemas) for BI applications.
• Proficiency in Power BI for developing interactive reports, dashboards, and data visualisations.
• Advanced skills in DAX for creating business calculations, measures, and KPIs in Power BI.
• Solid experience in Python for data analysis, machine learning, and automation of data workflows.
• Ability to collaborate with business stakeholders and technical teams to translate requirements into data-driven solutions.
• Strong problem-solving skills and critical thinking abilities.
• Excellent command of the English language.

Preferable to have:

• Experience in developing ETL pipelines for data integration and transformation.
• Knowledge of data science projects related to customer analysis, behaviour prediction, and segmentation.
• Familiarity with SQL Server Analysis Services for OLAP modelling.
• Experience with version control systems for managing BI reports, scripts, or development work.
• Knowledge of Microsoft Fabric Cloud Services for cloud-based data solutions.

**Candidates must have the legal right to work in the location for which they are applying

By joining us, you can expect:

Attractive remuneration package

22 days of Annual Leave (reaching up to 30 days per year based on years’ service)

Hybrid Work Mode

Friday afternoons off in Summer (July & August)

Birthdays are always a day off!

Referral Bonus – refer a candidate we would all enjoy to work with!!

Participation in the Company’s Medical Scheme from day one!

Participation in the Company’s Group Discount Scheme

Free Gym Membership (Larnaca)

Unlimited snacks, fruits, and beverages

Complimentary periodic lunches at the office

Fun team-building activities & Corporate events

Lifelong Learning Allowance plus paid Educational Leave

🌍Who is HFM?

Established Broker since 2010 | 60+ Industry Awards | over 3,500,000 Live Accounts | 300+ Employees Globally | 40+ Different Nationalities |

At HFM, our workforce is our biggest asset. For this reason, we reward our employees’ individual talent and skills, and encourage them to reach their full potential in an engaging workplace that fosters excellence.

Kick off an exceptional career with HFM and follow the path to success!

Sounds like you? Come and write the next chapter with us through our Careers website: BI Analytics Engineer

All applications will be treated as confidential.