At Medtronic you can begin a life\-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
*A Day in the Life**
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A typical day involves developing Power BI dashboards, creating Power Automate workflows, leading AI\-driven innovation initiatives, transforming data into actionable insights, and collaborating with stakeholders to deliver intelligent analytics and automation solutions that enhance operational efficiency and business outcomes.
*Responsibilities may include the following and other duties may be assigned:**
Design, develop, and maintain Power BI reports and dashboards using enterprise data models.
Support life‑cycle reporting solutions, including ownership of transitioned reports (e.g., Products Life‑cycle reports).
Optimize DAX calculations, semantic models, and overall report performance.
Collaborate with business stakeholders to gather reporting requirements and translate them into scalable BI solutions.
Work with relational databases and cloud data warehouses to build, enhance, and maintain analytical data models.
Support and extend enterprise data models (e.g., Resourcing Forecast and Allocation data models).
Participate in knowledge‑transfer sessions and ensure smooth transition of data assets.
Ensure data accuracy, performance, and compliance with enterprise data governance standards.
Develop, maintain, and support Power Apps solutions used by business teams.
Provide ongoing support for existing Power Apps (e.g., applications for accessory ordering).
Coordinate application handovers to business teams and provide post‑handover support as required.
Work with SAP‑integrated applications and understand downstream system impacts.
Provide L2/L3 support for Power BI and Power Apps solutions.
Monitor application usage, performance, and issues to ensure production stability.
Participate in defining support models, WBS creation, and support chartering for applications transitioning to IT support.
Ensure minimal disruption during platform upgrades, maintenance windows, and releases.
Conduct knowledge‑transfer sessions and maintain comprehensive technical documentation.
Work closely with cross‑functional teams including business users, data engineers, SAP teams, and IT support teams.
Follow enterprise SDLC, change management, and release management processes.
*Required knowledge and experience:**
A bachelor’s degree in professional courses / equivalent from reputed institution.
4 to 8 years’ experience in Software verification \& Validation / Development background.
Power BI (DAX, Power Query, data modelling, performance tuning)
Power Apps (Canvas Apps)
Power Automate (basic to intermediate)
Strong experience with relational databases (SQL Server, Oracle, or equivalent)
Experience with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, or equivalent)
Experience with data pipeline and transformation tools (DBT Client / DBT Cloud is a plus)
Advanced SQL development and query optimization
Dimensional data modelling (star and snowflake schemas)
Experience integrating Power BI and Power Apps with enterprise systems (e.g., SAP, Salesforce, ServiceNow)
Understanding of security, authentication, and role‑based access control (RBAC) in Power BI and Power Apps
Nice to Haves
Excellent communication and interpersonal skills
Excellent written, organizational, and communication skills is required, and have a flexible and team\-oriented attitude.
Self\-motivated and positive
Ability to quickly establish credibility with all levels of customer base
Strong experience supporting production BI platforms including Power BI, Tableau, and legacy reporting tools such as Business Objects.
Hands‑on experience with Snowflake data warehouse
Designing and maintaining views, tables, and secure objects
Deep understanding of Snowflake objects (databases, schemas, warehouses, tasks, streams, stages)
Performance optimization techniques such as warehouse sizing, clustering, caching, and query tuning
Best practices for cost management, data sharing, and environment separation
Experience working with enterprise cloud data warehouse architectures, including ingestion, transformation, and semantic layer design.
Strong understanding of Medallion architecture (Bronze, Silver, Gold layers) and its application in analytical data platforms.
Experience in knowledge transfer, transition planning, and team onboarding activities
*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.
*Benefits \& Compensation**
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*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).
*About Medtronic**
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We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000\+ passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R\&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here
Experience using data catalog and metadata management tools such as Atlan and Informatica Enterprise Data Catalog (EDC) for data discovery and lineage.
Proven expertise in report and data‑model performance optimization, including architecting solutions that scale from small user groups (10s) to large enterprise audiences (1000s\+ users).
Solid understanding of RBAC and security modelling across both Power BI semantic models and database‑level security.
Strong troubleshooting skills with the ability to perform deep root‑cause analysis across reports, data models, and data pipelines.
Ability to work independently while managing and supporting multiple applications in parallel.
Experience leveraging AI‑assisted analytics features in BI tools (e.g., Power BI Copilot, Smart Narratives, Q\&A, Key Influencers, anomaly detection) to enhance analytical insights and user experience.
Ability to integrate AI/ML outputs (predictions, classifications, forecasts) into analytical dashboards and frontend applications for business consumption.
Exposure to prompt‑driven analytics and natural‑language querying to enable self‑service insights for business users.
Understanding of how to design AI‑augmented dashboards that balance explainability, performance, and usability.
Exposure to open‑source visualization libraries such as D3\.js, Plotly, Vega‑Lite, Apache Charts, or similar frameworks will be a Plus
Experience embedding or integrating custom visualizations int **o** BI platforms or web‑based analytical applications.
Strong communication and stakeholder‑management skills
Ability to work effectively in a fast‑paced enterprise environment
Strong ownership mindset for production systems and ongoing support