Associate Data Scientist - Workforce Analytics

Xcel Energy; Minneapolis (MN); Hybrid; USD 85,000 - 121,000; Full time

Benefits offered by this job

Annual Incentive Program

Medical/Pharmacy Plan

Dental

Vision

Life Insurance

FSA options

HSA (if enrolled)

Transportation Reimbursement Account

STD

LTD

EAP

Tuition reimbursement

Transit programs

Pension

401(k) plan

PTO

Holidays

VPTO

Parental Leave

Job summary

Xcel Energy is seeking an Associate Data Scientist for Workforce Analytics in Minneapolis, MN. You will analyze large employee datasets, apply statistical methods and machine learning, and translate findings into actionable recommendations for business leaders.

The role emphasizes collaboration with senior teammates, data quality, and visualization using Posit or Power BI, with a hybrid onsite schedule and competitive compensation.

Qualifications

• Bachelor’s degree in CS, data science, statistics, math, or related analytical concentration.
• Other bachelor’s degrees with data science relevant certifications will be considered.

Responsibilities

• Analyze complex workforce data and translate business goals into technical analysis.
• Interpret results and communicate recommendations to decision-makers.
• Support predictive modeling and automation of data collection.
• Contribute to data quality assurance.
• Collaborate with senior teammates and stakeholders to ensure actionable insights.

Skills

Analytical thinking

Communication

Education

Bachelor’s degree in computer science, data science, statistics, math, or related analytical concentration

Tools

SQL

Python

Posit

Power BI

Job description

At Xcel Energy, this Associate Data Scientist role in Workforce Analytics focuses on applying data science to HR, workforce, and people analytics. You will work with large employee datasets to develop insights that support practical business strategies, using statistical methods, machine learning, and visualization techniques. This hybrid position is based in Minneapolis, MN and offers the chance to contribute foundational data science capabilities while partnering with colleagues across the organization.

Role focus

In this position, you’ll analyze complex workforce data and translate business goals into technical analysis. You’ll interpret results and communicate recommendations to decision-makers, collaborating closely with more senior teammates and stakeholders. The work may include supporting predictive modeling, assisting with automation of data collection, and contributing to data quality assurance.

What you’ll do

• Work confidently with SQL and Python as primary languages for analysis.
• Apply experience in strategic workforce planning, people analytics, resource planning, or a related workforce discipline.
• Use knowledge of machine learning techniques and algorithms to derive actionable insights.
• Leverage data visualization tools such as Posit or Power BI.
• Manage and analyze large datasets using statistical methods and machine learning algorithms.
• Translate business objectives into technical execution and transform findings into actionable recommendations.
• Collaborate with senior team members, learn from experienced colleagues, and communicate results to non-technical stakeholders.
• Present insights to business users and coordinate with team members to support interpretation and decision-making.

Required qualifications

• Bachelor’s degree in computer science, data science, statistics, math, or a related analytical concentration.
• Other bachelor’s degrees with data science relevant certifications will be considered.

Technologies

• SQL
• Python
• Posit
• Power BI

Compensation and schedule

• Location: Minneapolis, MN (hybrid)
• Salary: USD 84,900 - 120,567 per year
• Hybrid work model: Many roles are expected to work onsite three days per week (Tuesday–Thursday), with expectations varying by role, team, and business needs.
• Anticipated starting base pay: $84,900.00 to $120,567.00 per year
• Deadline to Apply: 10/28/26

Benefits

• Annual Incentive Program
• Medical/Pharmacy Plan
• Dental
• Vision
• Life Insurance
• Dependent Care Flexible Spending Account
• Health Care Flexible Spending Account
• Health Savings Account (HSA) (if enrolled in eligible health plan)
• Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
• Transportation Reimbursement Account
• Short-term disability (STD)
• Long-term disability (LTD)
• Employee Assistance Program (EAP)
• Fitness Center Reimbursement (if enrolled in eligible health plan)
• Tuition reimbursement
• Transit programs
• Employee recognition program
• Pension
• 401(k) plan
• Paid time off (PTO)
• Holidays
• Volunteer Paid Time Off (VPTO)
• Parental Leave

Preferred qualifications

• Utility, energy, or regulated industry experience.
• Experience working with HR, workforce, or other sensitive employee data and related business processes.
• Hands-on experience using experiments or causal impact evaluation to measure the effectiveness of business programs, initiatives, or interventions.
• Familiarity with reproducible analytical workflows, version control, model validation, and data quality practices.
• Experience developing reusable statistical models, analytical tools, or data products for ongoing business use.

Values and employee commitments

• Our values: Connected, Committed, Trustworthy, Safe
• Employee commitments: Work that makes a difference; A team you can count of; Opportunities to grow; Rewards that help you thrive

Additional information: Xcel Energy supports a hybrid work model to enable collaboration and flexibility. The company asks all employees and contractors to protect company information and systems by following cybersecurity policies, standards, and best practices, emphasizing that cybersecurity is everyone’s responsibility.