Join a fast-paced health tech initiative driving data-led transformation in healthcare. We are seeking a Business Intelligence Analyst with a sharp eye for data visualisation and a passion for turning complex information into accessible insights.

In this role, you'll be more than just a dashboard builder-you'll be a critical connector between data, policy, and action. You'll work closely with both data producers and consumers to ensure the right information is available, accurate, and impactful.

What You'll Do

• Collaborate with multiple policy, planning, and analytics teams to gather, understand, and translate business needs into data visualisation solutions.
• Build interactive dashboards and data products-primarily using Tableau-that enable self-service analytics and drive decision-making.
• Ensure completeness and quality of data through iterative analysis and validation across sources and systems.
• Work hand-in-hand with both upstream (data providers) and downstream (policy users) stakeholders to strengthen data pipelines and usability.
• Interpret data to reveal trends and insights that support healthcare program evaluation, planning, and improvement.
• Help establish and maintain data standards, including adherence to privacy and protection regulations.
• Contribute to an agile, cross-functional team alongside engineers, analysts, and program leads.

What You Bring

Must-Have Skills

• Proficiency in data modelling and visualisation, especially using Tableau.
• Working knowledge of healthcare data, particularly patient journeys in outpatient and GP clinic settings.
• Experience with O365 tools and working in Agile teams.
• High attention to data sensitivity and privacy, with a clear understanding of personal data protection laws.
• Strong interpersonal skills and a proven ability to build trust with both technical and non-technical stakeholders.

Nice-to-Have Skills

• Experience using Python for data wrangling or automation.
• Familiarity with AWS Data Pipeline services.
• Exposure to predictive analytics.
• Appreciation for design principles in data visualisation (e.g., Edward Tufte's The Visual Display of Quantitative Information ).