Workforce Analytics Data Scientist — Hybrid (Minneapolis)

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

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.