Hybrid Analytics Engineer

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About the role

  • Analytics Engineer blending data analysis, business intelligence, and data engineering for a healthcare software company. Creating dashboards and data models to empower decision-making and improve healthcare outcomes.

Responsibilities

  • 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

Requirements

  • 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

Benefits

  • Competitive compensation
  • Opportunity to make a meaningful impact on healthcare outcomes
  • Collaborative, inclusive culture focused on learning and innovation
  • Ongoing professional development in emerging data technologies
  • Flexible working with a commitment to work-life balance

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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