Business Intelligence Analyst

Overview

M42 delivers comprehensive healthcare services across the full continuum of care; from primary care to advanced specialty treatments. Leveraging cutting-edge health technologies and precision medicine, we ensure the highest standards of effectiveness, efficiency, and patient-centered outcomes. With a global presence spanning more than 480 facilities in 27 countries and a dedicated workforce of over 20,000 professionals, M42 is uniquely positioned to redefine the future of healthcare on a global scale.

M42’s Integrated Health Solutions (IHS) platform leads national programs and population health initiatives while addressing global health disparities through precision, prevention, and predictive care. Uniting expertise in genomics, biobanking, data services, environmental sciences, and clinical research and trials, IHS delivers innovative, evidence-based solutions that advance both regional and global health. Its flagship programs include the Emirati Genome Program (EGP), enabling personalized healthcare;

the Abu Dhabi Bio Bank, supporting drug discovery and biobanking; and Biogenix Labs, driving precision medicine with Next-Generation Sequencing (NGS). In addition, Environmental Sciences investigates non-human factors influencing public health, while IROS fosters innovation through world-class clinical research. Together, these initiatives reflect M42’s commitment to healthier communities and a more sustainable future.

As the Business Intelligence Analyst, you will independently translate business requirements into actionable data insights. The role involves defining KPIs, analysing large and complex datasets, and delivering clear, compelling data stories through advanced visualization and analytics tools. As the analyst you will engage with business stakeholders to embed data-driven thinking and champion the use of BI and analytics tools for smarter, faster decisions.

• Partner with business and clinical teams to understand needs, translate them into analytics solutions, and define KPIs that measure performance and outcomes.
• Design, build, and maintain BI dashboards and reports that support strategic, operational, and clinical decision-making.
• Develop advanced SQL queries and work with large, complex datasets from multiple systems while ensuring data accuracy and consistency.
• Use Python or R for data wrangling, statistical analysis, and predictive analytics when required.
• Collaborate closely with engineering teams on ETL/ELT pipelines, data transformations, and data warehouse enhancements.
• Apply strong knowledge of Data Warehousing concepts, including:
• Star & snowflake schemas.
• Fact/dimension table design.
• Data modelling and data integration best practices
• Present insights effectively through clear storytelling, data visualization, and concise presentations.
• Manage analytics projects end-to-end, working independently to deliver high-quality outputs on time.
• Maintain strong data governance standards, ensuring accuracy, transparency, documentation, and compliance with internal quality practices.
• What We’re Looking For
• A strong blend of technical analytics expertise and business consulting skills.
• Ability to work confidently with enterprise data warehouse environments and ensure high-quality, reliable data for reporting and analytics.
• Someone who can influence decisions across healthcare, diagnostics, and operational teams using data-driven insights.

• Bachelor’s degree in computer science, Data Analytics, Statistics, or a related field;
  Master’s degree is a plus.
• BI certifications (e.g., Microsoft Power BI) are preferred but not required.
• Advanced Power BI expertise, including data modeling, DAX, and strong visualization skills.
• Strong SQL proficiency, with experience writing optimized queries, complex joins, procedures, and working with large datasets.
• Hands-on experience with Python or R for data preprocessing, statistical analysis, and analytical modeling.
• Solid understanding of ETL/ELT pipelines, data transformations, and enterprise data warehouse concepts (star/snowflake schemas, fact/dimension modeling).
• Ability to work confidently with large, complex, multi-source datasets…