Airswift is looking for a HR Data Analyst who will be working with a MAJOR STEM Organization, in Allentown, PA or Remote as long as candidate is based in the United States and has authorization to work. This is a long term assignment (2 Years)
*No Sponsorship Available* - * No C2C*

Location: Allentown, PA or Remote/US

Department: Human Resources

Reports To: Sr Manager; Global People Data & Insights

Position Summary: We are seeking a highly skilled People Analytics Sr Specialist with extensive experience in Workday & hr related analytics to join our dynamic HR team. The ideal candidate will have a strong ability to conduct comprehensive analysis across various HR Centers of Excellence (COEs) topic areas and provide insightful data storytelling. This role requires a strategic thinker who can translate business problems into analytical solutions, delivering actionable insights to leaders and business partners.

Key Responsibilities:

Conduct in-depth analysis across HR COEs, including Talent Acquisition, Learning & Development, Compensation, Performance, and Succession. Utilize Workday to build, extract, manipulate, and analyze HR data to identify trends, patterns, and insights. Develop and deliver compelling data storytelling presentations to communicate findings and recommendations to stakeholders. Collaborate with HR leaders and business partners to understand their needs and provide data-driven solutions. Design and implement analytical approaches to solve complex business problems and improve HR processes. Create and maintain dashboards and reports to track key HR metrics and performance indicators. Stay current with industry trends and best practices in people analytics and HR technology.

Qualifications:

Bachelor's degree in Human Resources, Data Science, Business Analytics, or a related field. Proven experience in people analytics, with a strong focus on Workday. Proficiency in data visualization tools (e.g., Qlik, Tableau, Power BI) and data management languages (e.g., SQL, R, Python). Excellent analytical and problem-solving skills, with the ability to interpret complex data sets. Strong communication and presentation skills, with the ability to convey data insights to non-technical audiences. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. A global mindset, encouraging collaboration and innovation across different cultures and regions. High attention to detail and a commitment to data accuracy and integrity. Experience with Workday reporting, dashboarding, discovery boards, and Prism is a plus.