Sr Advanced Analytics Analyst
Medtronic
- Location
- Nanakramguda, Hyderabad, India
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 106 approvals (FY2023)
- Posted
- Aug 24, 2026
Skills
About this role
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