Offer summary

Qualifications:

Bachelor's or Master's degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a related field., 4-6 years of experience in data visualization and dashboard creation, particularly with Power BI., Proficiency in SQL and familiarity with relational databases like Microsoft SQL Server., Experience with analytic software tools such as Python, R, Matlab, or PySpark..

Key responsibilities:

Collaborate with IT and cross-functional teams to identify and prepare data for dashboard creation using Power BI.

Design and develop interactive dashboards to visualize data patterns and enable actionable insights for stakeholders.

Utilize cloud computing technologies to build and maintain scalable analytics pipelines.

Communicate analytical findings and educate teams on best practices for using analytics tools, particularly Power BI.

Job description

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.

We are looking for highly motivated, performance driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!

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 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 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.

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.
4-6 years of work experience in data visualization and dashboard creation, particularly using Power BI.
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 Microsoft SQL Server, etc.
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

Travel is estimated at 10% but will flex depending on business needs

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