Career Opportunities: Associate Analyst - Workforce Analytics (63989)

Requisition ID 63989 - Posted 

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What you’ll do:

Are you passionate about turning data into decisions that shape the future of work?

Join Eaton’s Workforce Insights Team (WIT) as an Associate Analyst and become a key player in driving evidence-based talent strategies across a global organization. This is not just another analytics role, it’s an opportunity to work at the intersection of HR, data science, and business strategy, where your insights will directly influence how Eaton attracts, develops, and retains talent.

In this dynamic role, you’ll:

• Translate complex business challenges into technical solutions.
• Dive deep into workforce data to uncover trends and opportunities.
• Work with cutting-edge tools like Visier and contribute to labor market analytics.
• Collaborate with global stakeholders and present insights that drive real change.

What makes this role exciting?

• You’ll be part of a forward-thinking analytics team that values curiosity, agility, and innovation.
• You’ll have the chance to lead learning sessions, share technical expertise, and shape Eaton’s workforce analytics capability.
• You’ll work on high-impact projects that influence workforce planning, strategies, and organizational effectiveness.

If you’re someone who enjoys solving problems with data, thrives in a collaborative environment, and wants to make a meaningful impact - this is the role for you.

Qualifications:

•    Bachelor’s degree in Statistics, Engineering, Computer Science, or related field.
•    1–3 years of experience in analytics, ideally in workforce or HR domains.

Skills:

•    Strong analytical mindset with proficiency in Excel, SQL (ETL), and Power BI (including DAX).
•    Experience in data visualization, dashboard storytelling, and stakeholder engagement.
•    Ability to translate complex data into clear, actionable insights.
•    Familiarity with HR systems like Visier, Talent Hub, or Oracle BI is a plus.
•    Exposure to labor market analytics, predictive modeling, or organizational consulting is a plus.
•    Excellent communication and presentation skills.

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