JOB DESCRIPTION: Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 113,000 colleagues serve people in more than 160 countries. Our nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow, to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, Glucerna® and ZonePerfect® – to help get the nutrients they need to live their healthiest life. We are seeking a Senior Commercial Excellence Analyst to play a critical role in enabling data‑driven decision making across Abbott Nutrition UK. Sitting within the Commercial Excellence function, this role partners closely with cross‑functional stakeholders to transform complex data into clear, actionable intelligence that supports business performance, efficiency, and growth. Working closely with the Business Intelligence Manager, you will lead the design, development, and deployment of advanced Power BI solutions, support major analytical projects, and help shape the future of business intelligence capability as we continue our transition to Power BI. This role is ideal for an experienced analyst who is technically strong, commercially minded, and confident influencing stakeholders through insight. Key responsibilities Lead business requirements and solution design sessions to define, prototype, and deliver new Power BI dashboards and analytical solutions Design, build, test, and deploy critical Power BI reports, ensuring strong user adoption and high data quality Partner cross‑functionally to improve business decisions through effective use of data and insight Own and maintain data governance processes, ensuring reports and datasets meet due‑diligence and compliance standards Create and maintain technical and solution design documentation Manage code migration across development, testing, and production environments Collaborate with local IT teams to design and optimise database objects (tables, views, indexes) for performance Lead large analytical projects, delivering milestones on time and to agreed scope Provide continuity support for monthly dashboard refreshes and critical reporting cycles Ensure third‑party data providers deliver value for money Maintain the highest standards of data integrity, accuracy, and confidentiality Essential: Degree‑level education (ideally with modules in computer science, data analysis, statistics) or equivalent relevant experience Strong, demonstrable experience delivering end‑to‑end Power BI solutions across multiple data sources Advanced expertise in Power Query and data modelling within Power BI Excellent numerical, analytical, and problem‑solving skills Ability to translate complex analysis into clear recommendations for senior stakeholders Comfortable working autonomously in a fast‑paced, deadline‑driven environment Strong attention to detail with a track record of producing high‑quality, error‑free outputs Experience transitioning from QlikView / QlikSense to Power BI Technical experience with tools such as SQL Server, Alteryx, R, VBA, JavaScript, or similar Exposure to predictive analytics techniques Experience working with healthcare and pharmaceutical data, including IQVIA, NHS ePACT, or Salesforce data As you’d expect from a global healthcare company, we offer a fantastic range of benefits including competitive salaries, a superb defined contribution pension scheme, private healthcare, life assurance and a flexible benefits scheme. The base pay for this position is N/A In specific locations, the pay range may vary from the range posted. JOB FAMILY: IT Business Relationship Management DIVISION: ANI International Nutrition LOCATION: United Kingdom > Maidenhead : Abbott House ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Yes, 5 % of the Time MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)