About the Role
Responsibilities
- Partner with supply chain and technical teams to understand stakeholder needs, then prototype and develop new data tools or visualizations
- Build and maintain data pipelines and infrastructure using a suite of data and ETL tools, connecting data sources, data marts, and analytics applications
- Work with large and complex datasets that span multiple areas of the organization; serve as a subject matter expert for data modeling and extracting data for self-service reporting and ad hoc analyses
- Diagnose issues with data flows and sources, apply technical solutions and collaborate with team members to make process improvements where needed
- Establish and maintain quality, confidence and shared understanding of data resources through process improvements, documentation, and testing
- Conduct statistical analyses and build predictive and prescriptive models to support data-driven decision making
- Collaborate with the Data Science and Engineering Team to advance tools, infrastructure and processes to take advantage of emerging technologies and methods
- Promote best practices in data management, analysis, and communication of insights
- Maintain compliance with training expectations as required for this position
Required Qualifications
- Bachelor’s degree in Data Science, Engineering, Mathematics/Statistics, Business or related quantitative discipline
- Minimum 3 years of relevant experience in data analysis, data science or data engineering
- Experience building data pipelines or integrations to provide data to applications, including systematization with ETL tools or applications
- Expertise working with large datasets using database platforms and/or cloud data infrastructure
- Expertise profiling data to determine its characteristics, identify issues and implement methods to clean and improve it
- Expertise in analytical methodologies including statistical analyses, data visualizations, predictive modeling, or operational dashboards
- Proficiency with data manipulation, visualization, modeling and analysis tools, such as Power BI, Databricks, SQL, Python, or KNIME
- Solid knowledge of data engineering principles, including role-based access control, and ability to apply this knowledge in manufacturing and supply chain environments
- Strong project execution and communication skills, including the ability to define projects, set stakeholder expectations, organize work streams and deliver solutions
- Demonstrated ability to collaborate effectively with a variety of partners in complex projects
Desired Qualifications
- Master’s degree in a related quantitative discipline
- Experience with systems supporting manufacturing and supply chain (e.g., ERP, PLM, MES)
- Strong perspective on best practice for data design, visualization and interpretation
This position offers a remote work arrangement in the country from which the Associate is employed. Eligibility is dependent on the responsibilities of the role and business needs, and the Associate must agree to comply with Gore’s work arrangement policies.
Note: In the United States, restrictions exist for remote work from Alaska, Hawaii and Rhode Island.
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
Gore is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to 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 protected 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 United States. Gore generally will not sponsor visas unless otherwise noted on the position description.
