Develop and maintain Power BI dashboards, reports, and interactive visualisations to support business decision-making
Design and implement data models that enable efficient reporting and analytics, ensuring high data quality and integrity
Collaborate with stakeholders to gather requirements, define metrics, and translate business needs into technical solutions
Work closely with cross-functional teams (product, operations, clinical) to align data solutions with business objectives and healthcare regulatory standards
Monitor data quality and governance to ensure compliance with healthcare data security and privacy requirements
Identify process improvement opportunities to enhance data accessibility, performance, and reliability

Strong proficiency in SQL, including complex queries and performance optimisation
Knowledge of Python for scripting and automation
Experience with Power BI, including dashboards, visualisations, data models, and transformations
Hands-on experience with data modelling and transforming large datasets into insights
Experience with data engineering: pipelines, ETL processes, and data warehousing
Working knowledge of cloud platforms (AWS, Azure, GCP) and related tools
Familiarity with database design, administration, and performance tuning
Familiarity with best practices for data visualisation and UX design
Background or experience in healthcare, clinical systems, or regulatory environments (e.g., ISO 27001, GDPR)
Comfortable working in an agile environment with changing priorities

Analytics Engineer

Key skills