Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
About the role
- Business Intelligence Data Engineer at HFM, transforming raw data into analytics-ready datasets. Bridging data engineering and analysis for strategic insights in a global trading firm.
Responsibilities
- Design, develop, and optimize data models to support analytics, reporting, and machine learning workflows, ensuring seamless integration with BI infrastructure.
- Utilize SQL and Python to clean, process, and analyze large datasets efficiently, supporting both analytics and machine learning processes.
- Develop, optimize, 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, optimize report performance, and enhance analytical capabilities in Power BI.
- Create interactive dashboards and visualizations 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.
Requirements
- University degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of experience in designing, developing, and implementing data solutions.
- Previous experience in the FX industry is required.
- Proficiency in SQL scripting, with expertise in optimizing 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 visualizations.
- 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.
Benefits
- Hybrid Work Model (up to 2 days working from home).
- 22 days of Annual Leave (reaching up to 30 days per year based on years’ service)
- Comprehensive Health & Life Insurance (from day one!)
- Friday afternoons off in Summer (July & August)
- Birthday Leave
- Gym Membership (Larnaca)
- Referral Bonus
- Paid Time Off for Training & Education
Job title
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