Analytics Data Engineer

About the Role: We are looking for a Data Engineer to join our Data Science and Engineering team and contribute to our success by building data pipelines and tools to produce actionable data-driven insights within our Medical business. In this role, you will develop pipelines to generate useful analytics data sets from multiple complex sources including SAP, manufacturing, quality and market data; model data sets using deep domain knowledge and methodological expertise; act as core project team members for analytics and data science projects; and provide production support and continuous improvement to our analytics capabilities.

This position offers multiple work arrangements: on-site at our facility in Flagstaff, Arizona, hybrid or fully remote work allowed in most locations within the United States, depending upon the responsibilities of the role and business needs.

Required Qualifications:

• Bachelor's degree or equivalent
• Minimum of 3 years work in analytics such as data analysis, data science or data engineering, in business analysis, academic/scientific computing, or other analytical field
• Expertise working with large data sets using cloud infrastructure, and first-hand familiarity developing and deploying data pipelines or integrations with Databricks, Azure Data Factory, or similar technologies
• Proficiency with a variety of tools for data manipulation, visualization, modeling and analysis, including one or more of Python, R, and other code-based tools; and familiarity with Tableau, Tableau Prep, and/or Power BI for dashboard development
• Expertise applying a broad range of analytical methodologies including statistical analyses, exploratory data analysis, or data visualizations, to solve data problems and design improved data sets for analytics
• Proven project execution and communication skills: Ability to define projects, set expectations among stakeholders, organize work streams and deliver needed solutions
• Demonstrated ability to support users of large production operations
• Demonstrated ability to collaborate with a variety of partners in complex project
• Ability to travel up to 5%

Desired Qualifications:

• Master's level education in a field related to analytics, data science, or other science, with experience with statistical and/or machine learning methods
• Proven experience using Databricks and Azure to develop complex data sets from SAP S/4HANA resources
• Familiarity with medical device industry-relevant data such as sales, marketing, manufacturing, clinical research or health care

Remote Working Arrangements are permitted for Associates in the continental United States (US) and Canada, with appropriate approval and compliance with Gore's remote working policies, from the country in which they are employed. For fully remote roles, the following locations are not eligible for new fully remote work arrangements: Alaska and Hawaii (for all roles), and Rhode Island (for wage/hourly roles only).

What We Offer: Our success is based on the capability and creativity of our Associates, and we are proud to offer a comprehensive and competitive total rewards program that supports your everyday and helps you build your tomorrow.

We provide benefits that offer choice and flexibility and promote overall well-being. And in keeping with our belief that every Associate should share in the collective success of the enterprise; we provide a distinctive Associate Stock Ownership Plan in each country as well as potential opportunities for "profit-sharing". Learn more at gore.com/careers/benefits

We believe in the strength of a diverse and inclusive workplace. With diverse perspectives, ideas and experiences, we uncover new possibilities and make a greater impact in the world. We are proud of Associates for building on our rich history of innovation, upholding our values and supporting an inclusive work environment where we treat each other and our external partners with fairness, dignity and respect.

Gore is an equal opportunity employer. We welcome all applications irrespective of race, color, religion, sex, gender, national origin, ancestry, age, status as a qualified individual with a disability, genetic information, pregnancy status, medical condition, marital status, sexual orientation, status as a covered veteran, gender identity and expression, and any other characteristic protected by applicable laws and regulations.

Gore is committed to a drug-free workplace. All employment is contingent upon successful completion of drug and background screening. Gore will consider qualified applicants with criminal histories, e.g., arrest and conviction records, in a manner consistent with the requirements of applicable laws.

Gore requires all applicants to be eligible to work within the U.S. Gore generally will not sponsor visas unless otherwise noted on the position description.

Our Talent Acquisition Team welcomes your questions at gore.com/careers/contact