Master Data Analyst

At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world. About the Role A Day in the Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and Technologies that reduce the burden of living with diabetes. This position is an exciting opportunity to work with Minimeds Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility. As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care. #BetterDaysStartNow The Master Data Analyst is responsible for the hands-on technical execution of master data management activities. Working under the direction of the Master Data Lead, this role pulls, inspects, transforms, and maintains data to support lead-to-account resolution, account hygiene, and governance rule implementation. This is a role focused on data processing, exception management, and system-level support. Key Responsibilities Responsibilities may include the following and other duties may be assigned: Develops, inspects, mines, transforms, and models data to support master data governance and lead-to-account resolution processes Execute data pulls and compile datasets needed for rule validation, exception review, and quality monitoring Manage exception queues, flagging records that cannot be auto-resolved for escalation to the Master Data Lead Implement and configure business rules in CRM/MDM systems as defined by the Master Data Lead Conduct data quality checks to verify accuracy of account matching, merging, and creation Maintain analytical systems and reporting to track match rates, duplicate volumes, and exception trends Manages all aspects of end-to-end data processing utilizing customized report building functions of systems Conducts statistical analysis on data and information to ensure correct predictive forecasting or classification Support ongoing data cleansing and deduplication efforts across customer master data Act as a liaison between the Master Data Lead and technical/IT teams for system changes or enhancements Document technical processes and maintain SOPs for recurring data tasks Specialist Career Stream Typically an individual contributor with responsibility in a professional discipline or specialty. Delivers and/or manages projects assigned and works with other stakeholders to achieve desired results. May act as a mentor to colleagues or may direct the work of other lower level professionals. The majority of time is spent delivering and overseeing the projects, from design to implementation - while adhering to policies, using specialized knowledge and skills normally acquired through advanced education. Differentiating Factors Autonomy: Entry-level individual contributor on a project or work team. Works with close supervision. Organizational Impact: Delivers work of limited scope, typically smaller, less complex projects or related activities. Innovation and Complexity: Identifies, defines and addresses problems that are not immediately evident but typically not difficult or complex. Makes minor changes in systems and processes to solve problems. Communication and Influence: Communicates primarily with internal contacts within immediate group. Contacts others to gather, confirm and convey information. Leadership and Talent Management: N/A job at this level is focused on self-development. Required Knowledge and Experience Requires broad theoretical job knowledge typically obtained through advanced education. Requires a Baccalaureate degree (or for degrees earned outside of the United States, a degree which satisfies the requirements of 8 C.F.R. 214.2(h)(4)(iii)(A), 0 years of experience required. Additionally Required: Working knowledge of data management concepts, data pulls, transformations, quality checks Proficiency in SQL/Databricks; familiarity with data query tools (SQL, Power Query, or similar) Proficiency in Power BI for reporting, dashboards, and data quality monitoring Strong attention to detail and accuracy Ability to follow documented processes and business rules with consistency Clear At Min