Analytics Engineer - Remote
September 25
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. • 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. • Performs other duties as required.
Requirements
• 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. • Goal-driven mentality with a focus on delivering insightful dashboards that inform decision-making. • Proficiency in Power BI, including data modeling, report creation, and sharing insights. • Experience with one or more analytic software tools, such as Python, R, Matlab, or PySpark. • Demonstrated proficiency in SQL and familiarity with one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc. • Experience working with MongoDB or analyzing data from non-relational sources is beneficial. • Demonstrated knowledge of software engineering principles and practices with an understanding of data visualization best practices. • Independent work skills without the need for detailed guidance, paired with a capacity for effective communication with leaders and stakeholders. • Ability to clearly communicate, both verbally and through documentation, the objectives and procedures related to Power BI dashboard development and deployment.
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