DigiKey Limited

Talent Analyst

In short

Talent Analyst role analyzing employee data to support talent development, engagement, retention, and organizational effectiveness, building dashboards and surveys using Power BI, Workday, Qualtrics, Excel, and R/Python. Posted by DigiKey, a global electronic components distributor, for a hybrid position in Bloomington, Minnesota requiring regular weekly onsite attendance. Requires 3+ years of HR/people analytics experience and a related bachelor's degree, with U.S. work authorization required (no visa sponsorship).

Location
Hybrid in Bloomington, Minnesota, with regular weekly onsite attendance required; other location: Thief River Falls, Minnesota. Must be authorized to work in the United States without employment-based immigration sponsorship.
Salary
$63,500–$87,500 base pay per year.
Company
DigiKey is a global distributor of electronic components offering a broad selection of in-stock products and customer service.
What you will do
•Analyze employee data to identify trends, gaps, and opportunities related to talent development, engagement, and retention.
•Build and maintain dashboards, KPI reports, and visualizations covering turnover, engagement, internal mobility, succession, performance, and hiring effectiveness.
•Design and analyze employee surveys to generate actionable insights.
•Consult with HR leaders on talent management, engagement, leadership development, and organizational effectiveness.
•Measure talent program effectiveness and recommend improvements to talent practices, performance reviews, and organizational development initiatives.
•Maintain data quality and governance, and present findings to HR and business leaders.
Requirements
•Bachelor's degree in HR, industrial-organizational psychology, data analytics, business administration, organizational behavior, or a related field, or equivalent experience.
•3+ years of experience in HR/people analytics or a related data-focused role.
•Experience or advanced education in analytics, statistics, computer science, or data science.
•Proficiency with Power BI, Workday, Qualtrics, Excel, and related reporting tools.
•Familiarity with statistical or predictive analytics using R or Python.
•Strong analytical, communication, consulting, collaboration, data-quality, and confidentiality skills.
Nice to have
•Master's degree in a relevant field.
•Psychometric background.
Culture & Benefits
•Hybrid work with regular weekly onsite attendance.
•Competitive employee benefits package.
•Opportunity to partner with HR and business leaders on evidence-based talent decisions.

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