Data Operations Analyst
Pubblicato il 17-09-2026 - Edwards Lifesciences in Pavia
Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Data Analyst position is a unique career opportunity that could be your next step towards an exciting future.
How you’ll make an impact:
Analytics & Modeling
- Build curated data sets and semantic models in Snowflake to enable self-service analytics.
- Conduct scenario analysis and forecasting to support strategic planning and resource allocation.
Reporting & Visualization
- Develop interactive dashboards and reports in Power BI to communicate insights clearly to business stakeholders.
- Automate recurring reporting processes and integrate predictive indicators into business performance dashboards.
- Provide guidance on ad-hoc reporting and data interpretation for business analysts.
Technical governance
- Maintain our data pipeline,
ensure proper testing of data models and metric
- Timely troubleshooting and bug-fixing of reports/pipelines
Cross-Regional Collaboration
- Ensure consistency in analytics frameworks and reporting standards across regions.
- Act as a resource for regional teams, providing training and best practices in analytics and visualization.
What you’ll need:
- University degree and proven experience in analytics, data modeling, and data visualization, ideally in the medical device industry.
- Working knowledge of SQL, Python, Snowflake (or similar platforms), and Power BI or Tableau.
- Proficiency in English.
What else we look for:
- Experience in product ownership/product discovery is valuable.
- Good communication, problem-solving, and stakeholder engagement skills.
For Italy:
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives,