Analytics Engineer

Job Description

Join a forward-thinking healthcare startup on a mission to transform patient outcomes and streamline clinical processes. We leverage cutting-edge data analytics, intuitive data visualisations, and robust data pipelines to inform critical business decisions and shape the future of healthcare. We pride ourselves on our collaborative, agile culture that fosters innovation and constant growth.

Role Overview

We are seeking a multi-talented professional to blend Business Intelligence, Data Analysis, and Visualisation with elements of Data Engineering. As a key member of our data team, you will be responsible for creating interactive dashboards, analysing complex healthcare datasets, and building scalable data models. The ideal candidate will be adept in Power BI, SQL and data modeling. Hands-on experience with the data engineering ecosystem (pipelines, databases, Python) is desirable. You'll help ensure our data solutions are insightful, actionable, and reliable, empowering decision-making across the organisation.

Key Responsibilities

• Develop and maintain Power BI dashboards, reports, and interactive visualizations 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 and innovative solutions to enhance data accessibility, performance, and reliability.

If you're passionate about healthcare, driven to leverage data for impactful change, and eager to shape the data infrastructure of a high-growth startup, we'd love to hear from you!

Requirements

• Demonstrable expertise in Power BI, including building dashboards, visualizations, and data models
• Hands-on experience with data modeling and transforming large datasets into insights.
• Familiarity with best practices for data visualization and UX design
• Excellent analytical, problem-solving, and communication skills

Preferred Skills & Experience

• Strong proficiency in SQL with experience in writing complex queries and optimising performance.
• Knowledge of Python for scripting and automation.
• Experience in data engineering: designing, building, and maintaining data pipelines, ETL processes, or data warehousing solutions.
• Background or previous experience in the healthcare sector—exposure to healthcare analytics, clinical systems, or regulatory environments (e.g.,ISO 27001, GDPR).
• Working knowledge of cloud platforms (e.g., AWS, Azure, GCP) and related data tools.
• Familiarity with database design and administration, including performance tuning.
• Comfortable working in an agile environment with rapidly changing priorities.

Benefits

• Competitive salary and benefits package.
• Opportunity to make a meaningful impact on healthcare outcomes.
• Collaborative, inclusive work culture focused on learning and innovation.
• Ongoing professional development, including training and resources in emerging data technologies.
• Flexible working arrangement with a commitment to work-life balance.