Senior Analytics Engineer

December 13

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Diabetes Youth Families

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1938

⚕️ Healthcare Insurance

🔧 Hardware

Description

• Collaborate with IT and cross-functional teams to identify and acquire data sources, refine and prepare data through ingestion, cleanup, and pre-processing scripts with an emphasis on dashboard creation using Power BI. • Design and develop interactive, user-friendly dashboards within Power BI to visualize and explore data patterns, enabling stakeholders to derive actionable insights. • Utilize cloud computing and automation technologies, such as Azure, AWS, and GCP, to build and maintain scalable and efficient machine learning and analytics pipelines. • Conduct in-depth data exploration using a combination of existing data science tools and bespoke algorithms to understand underlying patterns. • Perform rigorous statistical analysis and predictive modeling to support decision-making processes, and generate automated reports for ongoing monitoring. • Play an integral role in the software validation and verification process as well as the Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) efforts. • Effectively communicate analytical findings and strategic implications to a diverse audience, ensuring a clear connection between data results and business goals. • Lead and support the education of other teams in the adoption of analytics tools and best practice methodologies, with a particular focus on the utilization of Power BI for data visualization and dashboarding. • Performs other duties as required.

Requirements

• A Bachelor's or Master's degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is required. • 2-4 years of work experience in machine learning, artificial intelligence, or statistical inferences with a strong emphasis on data visualization and dashboard creation, particularly using Power BI. • Experience within manufacturing, medical device, and/or healthcare industries is a strong advantage. • Practical experience in developing and deploying interactive dashboards for business intelligence using Power BI is highly desirable.