
Revvity | About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity.
If you are a passionate and self-motivated individual who wants to make a difference in the field of innovative, next generation healthcare products we are looking for you! Join our Data & Analytics team and help us to delivering the most critical insights to the business. You will work across the global Revvity teams in support of all Revvity business segments.
At Revvity our mission is to innovate for a healthier world. Bring your entrepreneurial spirit and come grow your career in our dynamic and innovative culture.
- Assist in developing and optimizing machine learning models for business applications
- Support data pipeline development and maintenance using modern data engineering practices
- Create insightful data visualizations that communicate complex findings to stakeholders
- Develop and implement solutions leveraging OpenAI technologies and APIs
- Document processes and contribute to knowledge sharing within the team
- Utilize SQL skills to optimize database queries and enhance data retrieval performance
- Design and implement robust data models in Power BI, ensuring efficient ETL processes for data extraction, transformation, and loading.
- Create visually appealing and interactive reports and dashboards using Power BI to meet business requirements
- Integrate machine learning models into Power BI reports for predictive analytics and data-driven insights
- Implement data governance policies and security measures to protect sensitive information
- Maintain documentation for analytics solutions, ensuring knowledge transfer and supportability
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
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