Senior Analytics Engineer

Position Overview:

The Senior Analytics Engineer will be part of Insulet’s Data Science & Analytics Center of Excellence and will be responsible for the data product’s portfolio ranging from BI dashboards to automated monitoring and alerting processes both on premises and on Insulet’s cloud infrastructure. This role will also be responsible for the analytics project intake and working with business stakeholders, data scientists, and data engineers on the data products lifecycle and data governance activities while maintaining compliance. The Senior Analytics Engineer will build and deliver scalable and insightful data products to our internal and external stakeholders enabling access to actionable data insights across the organization.

Responsibilities

• Ownership, development, and maintenance of the Data Science & Analytics COE data products portfolio
• Identify and deliver actionable insights and recommendations to key stakeholders across the organization
• Own and develop analytics tools and processes that promote data driven decision making throughout the company
• Lead dashboard, application, dataset, and tool validation and documentation initiatives
• Partner with stakeholders to build queries and data visualizations for ad-hoc requests and existing dashboards/reports
• Work with IT and cross functional teams to identify data sources, determine data collection and design aggregation mechanisms
• Serve as liaison between the data teams and upstream engineering teams and participate in data governance activities as a key contributor
• Manage the analytics intake process and workflows
• Serve as one of the admins of the business intelligence toolkit
• Mentor and collaborate with junior Analytics Engineers

Education and Experience:

• Doctor of Philosophy degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field with 3+ years of experience working with data technologies; or Master’s degree with 6+ years of experience; or BS with 8+ years of experience.
• Experience in implementing and maintaining Business Intelligence tools linked to an external data warehouse or relational/non-relational databases is required
• Experience using statistics and advanced analytics to derive insights from large datasets required
• Experience in medical device, healthcare, or manufacturing industries is desirable
• HIPAA experience a plus

Skills/Competencies:

• Demonstrated knowledge in SQL and relational databases is required
• Knowledge in non-relational databases (MongoDB) is a plus
• Demonstrated knowledge of managing large data sets in the cloud (Azure SQL, Google BigQuery, etc.) is required
• Demonstrated knowledge of building, maintaining, and scaling Business Intelligence Reports (TIBCO Spotfire, PowerBI, Tableau, etc.)
• Demonstrated coding abilities in Python, R, or command line scripting languages
• Experience with Salesforce data is a plus
• Experience with Databricks and Spark is a plus
• Demonstrated familiarity with different data types as inputs (e.g. CSV, XML, JSON, etc)
• Demonstrated knowledge of database and dataset validation best practices
• Demonstrated knowledge of software engineering principles and practices
• Ability to communicate effectively and document objectives and procedures