Talent Analyst

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.