DI
DigiKeyTalent Analyst
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Before you apply
SalaryNo pay range posted
LocationBloomington, MN; Thief River Falls, MN
Work modehybrid
Typefull-time
SeniorityMid
Experience3+ yrs
Company size10,000+ people
PostedOct 16, 2026 · 3w ago
Verified live5d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in HR, industrial organizational psychology, data analytics, business administration, organizational behavior, or similar area of study or equivalent
3+ years in HR/people analytics or a related data-focused role
Demonstrated experience or advanced education in advanced analytics/statistics, computer science, or data science
Proficiency in data visualization (Power BI), HRIS platforms (Workday), and survey tools (Qualtrics)
Familiarity with statistical/predictive analytics (R or Python)
Able to approach business problems consultatively and draw on broad experience of analytical tools, disciplines, and techniques
Strong analytical skillset with the ability to extract, collect, organize, analyze, and interpret trends or patterns in complex data sets
Knowledge of research methods and best practices related to employee engagement/experience, employee development, performance management, talent management, and succession planning
Strong verbal and written communication, with analytical and strategic thinking skills
Ability to partner across HR and business teams; high attention to data quality and confidentiality
Skills
Workday
Qualtrics
Power BI
Tableau
Excel
R
Python
Benefits
Health insurance
About the company
DigiKey is one of the fastest growing distributors of electronic components in the world. In addition to offering the broadest selection of in-stock electronic components and providing the best service possible to customers, employees have access to a highly competitive benefits package. To learn more, visit our benefits and perks page.
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Position Overview:
The Talent Analyst leverages workforce data and employee insights to help leaders make informed, fact-based decisions related to talent acquisition, engagement, development, retention, and organizational effectiveness. This role translates complex data into actionable recommendations that drive measurable business and talent outcomes.
This is a hybrid position; regular weekly onsite attendance will be required.
Responsibilities:
•
Analyze employee data to identify trends, gaps, and opportunities to develop, engage, and retain talent.
•
Build and maintain dashboards, KPI reports, and visualizations covering metrics such as turnover, engagement, internal mobility, succession strength, performance, and hiring effectiveness.
•
Design and analyze employee surveys to generate meaningful insights.
•
Consult with HR leadership on best practices in talent management, engagement, and leadership development.
•
Measure the effectiveness of talent programs and recommend improvements.
•
Support the design of talent management practices, engagement strategies, organizational development initiatives, and performance reviews.
•
Leverage HRIS (Workday), survey platforms (Qualtrics), and analytics tools (e.g., Power BI, Tableau, Excel) for accurate reporting.
•
Maintain data quality, integrity, and governance
•
Present findings and recommendations to HR and business leader audiences
Legal
Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time
Required Knowledge, Skills, and Experience:
•
Bachelor’s degree in HR, industrial organizational psychology, data analytics, business administration, organizational behavior, or similar area of study or equivalent.
•
3+ years in HR/people analytics or a related data-focused role.
•
Demonstrated experience or advanced education in advanced analytics/statistics, computer science, or data science.
•
Proficiency in data visualization (Power BI), HRIS platforms (Workday), and survey tools (Qualtrics).
•
Familiarity with statistical/predictive analytics (R or Python).
•
Able to approach business problems consultatively and draw on broad experience of analytical tools, disciplines, and techniques.
•
Strong analytical skillset with the ability to extract, collect, organize, analyze, and interpret trends or patterns in complex data sets.
•
Knowledge of research methods and best practices related to employee engagement/experience, employee development, performance management, talent management, and succession planning.
•
Strong verbal and written communication, with analytical and strategic thinking skills.
•
Ability to partner across HR and business teams; high attention to data quality and confidentiality.