Senior Analytics Engineer Save

Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.

Position Overview:

Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. The Senior Analytics Engineer role is responsible for supporting research and development of global analytics and data science initiatives, according to Insulet's data analytics strategy. Working with senior analytics technical leaders, you will develop tools and processes to transform data into insights with subject matter experts from cross-functional teams. Using data cleaning best practices, aggregation, and joining large datasets, you will leverage cloud technologies to build analytics reporting for a comprehensive view of product to patient. You will gain detailed knowledge of multiple facets of business operation and collaborate with other Data Scientists in the Analytics COE to support cross-functional efforts spanning R&D, clinical, medical affairs, quality, and global manufacturing among others. We are a fast-growing company that provides an energetic work environment and tremendous career growth opportunities.

Responsibilities:

· 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.

Education and Experience:

· 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.

Skills/Competencies:

· 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.

NOTE: This position is eligible for 100% remote working arrangements (may work from home/virtually 100%; may also work hybrid on-site/virtual as desired). #LI-remote

Additional Information:

The US base salary range for this full-time position is $103,125.00 - $154,687.50. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the primary work location in the US. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Acquisition Specialist can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.