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Data Analytics

Roles & Responsibilities

  • Bachelor’s degree or equivalent experience; 3–5 years of experience in analytics, including data analysis, data science, or data engineering, within HR/People Analytics or a related field
  • Experience working with HR data from HRIS platforms (e.g., PeopleSoft, SuccessFactors) and translating data into actionable insights; strong proficiency in Python and SQL
  • Power BI proficiency (including DAX) with experience building dashboards and reports; ability to communicate insights to stakeholders at all levels
  • Experience in cloud-based environments handling large datasets, production support, and strong project execution with cross-functional collaboration

Requirements:

  • Build and stand up a new HR analytics ecosystem by migrating legacy reporting data sets from PeopleSoft to SuccessFactors and developing analytics data models using Azure, PySpark, Python, and SQL
  • Develop data models and analytics applications using cloud infrastructure (Azure) and code-first tools; create reports and dashboards with Power BI to deliver actionable insights while ensuring data security and compliance
  • Collaborate with the HR Data Analytics team and stakeholders to understand reporting and dashboard needs and deliver data tools (reports, dashboards, augmented data sets) accordingly
  • Provide production support and continuous improvement for analytics capabilities across SAP SuccessFactors, PeopleSoft, UKG and other platforms

Job description

About The Role

We are looking for a Data Analyst to join our HR Data Analytics team and contribute to our success by building reports and dashboards and developing tools to produce actionable data-driven insights within our business. In this role, you will create reports and dashboards to generate useful analytics insights from multiple complex sources including SAP SuccessFactors, PeopleSoft, UKG and other platforms; model data sets using deep domain knowledge and methodological expertise; act as core project team members for analytics and data projects; and provide production support and continuous improvement to our analytics capabilities.

This is a fully remote opportunity.

Responsibilities

Support our ongoing implementation of SAP SuccessFactors and stand-up new data reporting and analytics ecosystem by:

  • Migrate or rebuild existing reporting data sets from legacy HRIS to new architecture (PeopleSoft to SuccessFactors)
  • Migrate, rebuild, or build and support new analytics data models, and analytics applications, using cloud infrastructure technology (Azure) and a suite of code-first (Python, SQL, PySpark) development tools such as Azure Databricks and BI tools; PowerBI skill HIGHLY preferred.
  • Collaborate within the HR Data Analytics team and work with stakeholders to understand reports and dashboard needs; implement new data tools such as reports, dashboards, augmented data sets and/or other solutions to meet those needs with PowerBI while adhering to data security, compliance, and confidentiality standards.

Required Qualifications

  • Bachelor’s degree or equivalent experience
  • 3–5 years of experience in analytics, including data analysis, data science, or data engineering, within HR/People Analytics or a related analytical field
  • Experience working with HR data from HRIS platforms (e.g., PeopleSoft, SuccessFactors) and translating data into actionable insights
  • Strong stakeholder engagement skills, with the ability to communicate effectively across all levels of the organization, from individual contributors to the C-suite
  • Proven experience working with large datasets in cloud-based environments and developing dashboards and reports using Power BI
  • Demonstrated expertise applying analytical techniques such as statistical analysis, exploratory data analysis, and data visualization to solve business problems and improve data quality
  • Proficiency in data manipulation and analysis tools, including Python, SQL, and other code-based tools, as well as Power BI (including DAX)
  • Experience supporting users in large-scale, production environments
  • Strong project execution capabilities, including defining scope, setting expectations, coordinating workstreams, and delivering solutions
  • Demonstrated ability to collaborate effectively with diverse partners across complex, cross-functional initiatives

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.

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.

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.

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