Diabetes Youth Families

Analytics Engineer

Diabetes Youth Families

full-time

Posted on:

Origin:  • 🇲🇽 Mexico

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Job Level

JuniorMid-Level

Tech Stack

CloudPySparkPythonSQL

About the role

  • Support research and development of global analytics and data science initiatives according to Insulet's data analytics strategy.
  • Develop tools and processes to transform data into insights with subject matter experts from cross-functional teams.
  • Use data cleaning best practices, aggregation, and joining large datasets; leverage cloud technologies to build analytics reporting for a comprehensive view of product to patient.
  • Collaborate with other Data Scientists, AI/ML Engineers and Data Engineers in the Analytics COE to support cross-functional efforts spanning R&D, clinical, medical affairs, quality, and global manufacturing.
  • Work cross-functionally to build and communicate key insights; collaborate closely with product managers, engineers, designers, and researchers.
  • Engage with cross-functional teams to develop and streamline data pipelines, ensuring acquisition and optimal integration of varied data sources.
  • Create and maintain sophisticated Power BI dashboards that effectively communicate complex data insights.
  • Effectively communicate analytical findings and strategic implications to diverse audiences, ensuring a clear connection between data results and business goals.
  • Performs other duties as required.

Requirements

  • A Bachelor's or master's degree in STEM, or a closely related field is preferred.
  • 2-4 years of work experience working with data in a fast-paced, data-driven environment.
  • Experience within manufacturing, medical device, and/or healthcare industries is preferred.
  • Practical experience in developing and deploying interactive dashboards for business intelligence using BI tool (Power BI, Tableau, Spotfire, Qlik or Looker) is required.
  • Power BI, SQL, Python and Pyspark are highly desirable.
  • Proficiency in Power BI and Databricks, including data modeling, report creation, and sharing insights.
  • Experience with one or more analytic tools, such as Python, R, Matlab, or PySpark.
  • Demonstrated proficiency in SQL and familiarity with one or more relational databases.
  • Experience working with data from non-relational sources is beneficial.
  • Independent work skills without the need for detailed guidance, paired with effective communication with leaders and stakeholders.
  • Ability to clearly communicate, both verbally and through documentation, objectives and procedures related to dashboard development and deployment.
  • Position is eligible for hybrid working arrangements and requires on-site work at least three (3) days per week.