Analyst - Workforce Analytics

Eaton Corporation•Beachwood, OH

4d•$71,000 - $105,000•Hybrid

About The Position

Eaton’s Corporate Sector division is currently seeking an Analyst - Workforce Analytics. This position is eligible for a hybrid work set up if candidates lives within 50 miles of Beachwood, OH location, or remote work in the U.S. if not in the geographical area of Beachwood, OH. Candidates based in the Eastern or Central time zones are preferred to support effective communication, cross-functional partnership, and meeting alignment. This role conducts data-driven analyses to support the strategic and operational goals of the human resources function and Eaton overall. The analyst will work with various stakeholders to understand their needs, identify key metrics, design and implement analytical solutions, and communicate insights and recommendations with regards to internal and external labor markets.

Requirements

Bachelor’s degree with a minimum of 2 years of relevant analytics experience including advanced Excel and dashboarding.
OR Advanced degree (Master’s or PhD) within HR or analytics.
Must be able to work in the United States without corporate sponsorship now and within the future.

Nice To Haves

Analytics experience within HR domain.
Ability to work primarily within Eastern or Central time zone hours; candidates located in these regions are preferred.
Exposure to labor market analytics.

Responsibilities

Conduct labor market analyses across a global scope.
Dive deep into internal and external workforce data to uncover trends and opportunities.
Translate complex business challenges into technical solutions.
Consult with stakeholders and present insights that drive action.
Collaborate with our forward-thinking analytics team that values curiosity, agility, and innovation.
Conduct labor market analyses, including external benchmarking, internal segmentation, and workforce planning.
Analyze labor market trends in support of site-, division-, and company-level growth initiatives for global locations.
Use various tools and techniques, such as descriptive statistics, inferential statistics, data visualization, etc.
Collaborate and consult with various stakeholders to understand their business needs, challenges, and opportunities.
Source, extract, compile and manipulate data to prepare for analysis.
Design and maintain interactive dashboards and reports, leveraging custom syntax and DAX expressions to enable self-service analytics.
Present insights through compelling visualizations and storytelling, enabling data-driven decisions across HR and leadership teams.