Analytics Engineer (Power BI)

Location: York, United Kingdom; on-site

Company

hirify.global is an international specialist insurer focused on selective, non-mass-market insurance products and challenging conventional approaches.

What you will do

• Design, build, and maintain reusable analytical data models, curated datasets, data pipelines, dashboards, reports, and visualisations.
• Define and maintain governed business metrics and semantic models with consistent definitions across analytical products.
• Ensure analytical data products are accurate, complete, reliable, secure, documented, and well governed, including metadata, lineage, ownership, and access controls.
• Develop, test, and deploy analytics code through Git-based workflows, controlled environments, CI/CD, branching, pull requests, peer review, and automated deployment pipelines.
• Optimise models, transformations, and queries for performance, scalability, and cost efficiency while supporting analytics solution administration and maintenance.
• Work with business stakeholders, IT teams, and external third parties to gather requirements, assess solutions, deliver analytical products, provide BAU support, and train and mentor colleagues.

Requirements

• 5+ years of experience in business intelligence, data engineering, data analysis, or data visualisation.
• Significant expertise with modern analytics and BI platforms, ideally Power BI or Microsoft Fabric; experience with Tableau, Qlik, or Looker.
• Significant expertise with cloud data platforms, ideally Microsoft Fabric, Databricks, or Google Cloud Platform.
• Advanced T-SQL skills and experience with Python.
• Experience with Git-based development workflows, including branching, pull requests, peer review, and automated deployment pipelines.
• Strong understanding of data visualisation best practice and data modelling concepts.
• Ability to influence stakeholders, build credibility, communicate with technical and non-technical audiences, analyse business problems, and translate them into data-driven solutions.
• Creative, proactive, logical, innovative, results-driven, quality-focused, and personally accountable approach, with the ability to prioritise and deliver to deadlines in a changing environment.
• Inquisitive mindset and commitment to continuous learning and self-improvement.

Nice to have

• Certification from an analytics technology vendor.
• Insurance or financial services experience.
• Degree in science, computer science, mathematics, or a similar quantitative discipline.

Culture & Benefits

• Work within a data analytics specialist team and the wider Group Data Engineering organisation.
• Collaborate with UK, European, US, London Market, and Re & ILS business-aligned technology teams.
• Access to leading technologies and development opportunities within a growing data community.
• Culture focused on creativity, challenging the status quo, customer care, reliability, quality, and continuous improvement.