Position Overview:
Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump technology. The Analytics Engineer role focuses on designing, building, and maintaining scalable data infrastructure and analytics solutions to support global data initiatives aligned with Insulet’s overall data strategy. Collaborating with senior analytics leaders and cross-functional teams, this role involves creating advanced data pipelines, optimizing data workflows, and enabling effective reporting and visualization tools. The position combines cloud infrastructure expertise, data engineering practices, and analytics development to deliver actionable insights across core business functions such as R&D, clinical, medical affairs, quality, and global manufacturing.

Responsibilities:

• Design and implement robust, scalable, and efficient data pipelines for ingestion, transformation, and processing of large datasets.
• Create and maintain analytics solutions and dashboards within Power BI for dynamic reporting and data-driven decision-making.
• Work with IT and other teams to optimize data storage, retrieval, and integration using cloud platforms such as Azure, AWS, or GCP.
• Develop automation workflows for data processes, ensuring high accuracy and performance.
• Collaborate with cross-functional teams to define requirements for effective data models and architecture.
• Ensure data security, quality, and governance practices are adhered to across workflows.
• Conduct performance monitoring, debugging, and optimization of data infrastructure components.
• Partner with stakeholders to deploy and validate analytics tools, including efforts in Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ).
• Provide documentation and training to business units on effective use of developed analytics solutions.

Technical Requirements:

• Expertise in data pipeline design and development using tools like ETL frameworks, SQL, and cloud platforms such as Azure Data Factory, AWS Glue, or Google Dataflow.
• Advanced proficiency in Power BI for creating interactive dashboards and reporting solutions.
• Proficiency in scripting languages such as Python, R, or PySpark for data manipulation and automation tasks.
• Strong experience with relational databases (e.g., SQL Server, Oracle, Teradata) and exposure to NoSQL databases (e.g., MongoDB).
• Familiarity with CI/CD workflows to deploy data solutions effectively.
• Knowledge of software engineering principles and data visualization best practices.
• Functional knowledge of cloud infrastructure and distributed computing systems.

Soft Skills:

• Strong analytical thinking and problem-solving skills.
• Ability to work independently and take ownership of technical initiatives while collaborating with cross-functional teams.
• Clear communication skills to articulate technical concepts to non-technical stakeholders.
• Commitment to delivering high-quality solutions that align with business goals.
• Effective documentation and training abilities to ensure adoption of analytics tools and processes.

Recommended Areas of Courses:

• Data Engineering Fundamentals (e.g., ETL design, pipeline optimization).
• Cloud Platforms for Data Processing (e.g., Azure Data Factory, AWS Glue, or Google BigQuery).
• Advanced Power BI analytics techniques.
• Automation and CI/CD in data workflows.
• Data Security and Governance Practices.
• Statistical Modeling and Predictive Analytics Fundamentals.

The focus on technical implementation and infrastructure in this revised job profile aligns with the expertise expected of an Analytics Engineer, while preserving the collaborative and cross-functional nature of the role.
Additional Information:
The US base salary range for this full-time position is $90,600.00 - $135,900.00. 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.
Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com.
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!
At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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• Design and implement robust, scalable, and efficient data pipelines for ingestion, transformation, and processing of large datasets.
• Create and maintain analytics solutions and dashboards within Power BI for dynamic reporting and data-driven decision-making.
• Work with IT and other teams to optimize data storage, retrieval, and integration using cloud platforms such as Azure, AWS, or GCP.
• Develop automation workflows for data processes, ensuring high accuracy and performance.
• Collaborate with cross-functional teams to define requirements for effective data models and architecture.
• Ensure data security, quality, and governance practices are adhered to across workflows.
• Conduct performance monitoring, debugging, and optimization of data infrastructure components.
• Partner with stakeholders to deploy and validate analytics tools, including efforts in Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ).
• Provide documentation and training to business units on effective use of developed analytics solutions