Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life

The HR Analytics team enables data-driven decision-making across the Human Resources function through trusted data products, workforce analytics, reporting, and governance. As a Senior Advanced Analytics Analyst, you will serve as the critical link between HR stakeholders and technical data teams, translating business needs into scalable data, reporting, and analytics solutions that support Medtronic's digital and AI transformation.
Partnering with Human Resources Centers of Excellence, Data Engineering, Data Architecture, and Business Intelligence teams, you will help deliver trusted workforce data products that enable informed decision-making across Human Resources and the broader business. This role is ideal for someone who enjoys combining business consulting, data analysis, data governance, and stakeholder engagement to drive impactful analytics outcomes.

• Responsibilities include the following and other duties may be assigned:

• Business Consulting & Requirements Management
• Partner with HR stakeholders to define reporting, workforce metrics, and analytics requirements.
• Translate business questions into clear functional and technical specifications.
• Advise stakeholders on metric definitions, data availability, and appropriate data usage.
• Gather, document, and prioritize business requirements for HR data and reporting initiatives.
  Solutions & Warehouse Enablement
• Define requirements for HR data integration from source systems into enterprise data warehouse environments.
• Collaborate with Data Engineering and Data Architecture teams to design scalable reporting datasets and analytics solutions.
• Ensure business requirements align with technical data models and reporting structures.
• Support the development of enterprise reporting and analytics capabilities.
  Data Quality & Validation
• Perform end-to-end testing and validation of HR data pipelines and reporting solutions.
• Investigate and resolve data quality issues across source systems, warehouse environments, and reporting layers.
• Support User Acceptance Testing (UAT) activities and ensure solutions meet business requirements and quality standards.
• Monitor data accuracy, consistency, and completeness across analytics products.
  Data Expertise & Governance
• Serve as a subject matter expert on HR data, metrics, and reporting assets.
• Maintain documentation for data definitions, business rules, lineage, and refresh schedules.
• Promote data governance, data quality standards, and consistent metric usage across reporting products.
• Support data stewardship and governance initiatives within the HR data ecosystem.

• Required Knowledge and Experience:

• Must have full time Bachelor's degree from a recognized University in Analytics, Information Systems, Data Science, Business, Human Resources Analytics, or related discipline.
• Must have overall 8-12 years of work experience with minimum 4+ years of experience in data analytics, reporting, business intelligence, or data product management roles.
• Advanced SQL skills and experience working with enterprise data warehouse environments.
• Experience gathering and translating business requirements into scalable reporting and analytics solutions.
• Experience with HR systems and data, including Workday or similar Human Capital Management (HCM) platforms.
• Experience performing data validation, testing, and data quality analysis.
• Strong stakeholder management and cross-functional collaboration skills.
  Preferred Qualifications
• Experience with Microsoft Power BI or comparable business intelligence and visualization tools.
• Knowledge of data warehousing, data modeling, ETL/ELT processes, and reporting architectures.
• Understanding of data governance, metadata management, data lineage, and data quality frameworks.
• Experience partnering with HR, Technology, Data Engineering, and Analytics teams in a global environment.
• Experience supporting workforce analytics, data product management, or digital transformation initiatives.
• Experience working in Agile delivery environments.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

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Recruitment Fraud Alert

We are aware of phishing scams targeting job seekers

• Please keep the following in mind: Apply through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.

Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. 

If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. 

If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at mailto:[email protected] [email protected]. 

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Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.  We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.  

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).