Data Analyst- Medical Device

Koninklijke Philips N.V•Cambridge, MA

7d•$92,000 - $165,000•Onsite

About The Position

As a Data Analyst, you will play a key role on the Sleep and Respiratory Care (S&RC) team, transformingplex data into actionable insights that directly support better patient oues. In this role, you will manage, analyze, and visualize data to support strategic decision-making, maintain and enhance dashboards, and partner with cross-functional leadership stakeholders. You'll have the opportunity to work in a purpose-driven environment, leverage advanced analytics tools, and contribute to innovative solutions that improve the quality of life for patients worldwide. Your role: Analyzeplex datasets using advanced statistical methods and machine learning techniques to uncover insights that inform strategic business decisions and drive operational efficiencies. Translateplex data into clear, actionable business intelligence for stakeholders. Develop predictive models and intuitive data visualizations using tools such as Power BI, Python, R, and Tableau to forecast trends, detect anomalies, and monitor operational performance, enabling proactive and data-driven decision-making. Collaborate closely with senior leadership and cross-functional teams to prioritize, design, and execute analytics initiatives aligned withanizational goals. Contribute to proposal development for new analytics projects, evaluate business opportunities, and rmend data-driven strategies that support growth and performance. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in thepany's facilities. Field roles are most effectively done outside of thepany's main facilities, generally at the customers' or suppliers' locations. This is an office-based role. About Philips We are a health technologypany. We built our entirepany around the belief that every human matters, and we won't stop until everybody everyw has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. Learn more about our culture.

Requirements

You have a Bachelor's in areas such as Data Analytics, Data Modeling.
You've acquired 5+ years of working experience handling the analysis ofplex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies - background in medical products a plus!
Your skills include creating sophisticated predictive models and data visualizations, utilizing tools like Power BI, Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision
You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without amodation for this position.
You are adept at engaging with Quality Assurance stakeholders during strategy development, project planning, implementation and post implementation support.

Nice To Haves

background in medical products a plus!

Responsibilities

Analyzeplex datasets using advanced statistical methods and machine learning techniques to uncover insights that inform strategic business decisions and drive operational efficiencies.
Translateplex data into clear, actionable business intelligence for stakeholders.
Develop predictive models and intuitive data visualizations using tools such as Power BI, Python, R, and Tableau to forecast trends, detect anomalies, and monitor operational performance, enabling proactive and data-driven decision-making.
Collaborate closely with senior leadership and cross-functional teams to prioritize, design, and execute analytics initiatives aligned withanizational goals.
Contribute to proposal development for new analytics projects, evaluate business opportunities, and rmend data-driven strategies that support growth and performance.