Associate Data Scientist – Workforce Analytics

Xcel Energy

. Handle and analyze large datasets to uncover valuable insights .

Posted 10/23/2026full-timeUnited StatesJuniorMid-Level💰 $84,900 - $120,567 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science applications within HR and workforce analytics, utilizing statistical methods, machine learning algorithms, and data visualization tools to derive actionable insights and recommendations. Proficient in automating data processes while ensuring data quality and integrity for informed decision-making.

Highest-signal resume keywords

Data AnalysisMachine Learning TechniquesSQLPythonData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsPredictive ModelingData Quality AssuranceCausal Impact EvaluationReproducible Analytical Workflows

Soft Skills

CollaborationCommunication

Tools & Technologies

Power BIPosit

Certifications & Qualifications

Data Science Relevant Certifications

Industry Keywords

Workforce PlanningPeople AnalyticsUtility IndustryEnergy SectorRegulated Industry

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Handle and analyze large datasets to uncover valuable insights
Apply data science to HR, workforce, and people analytics
Use statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data
Translate business goals into technical expertise
Translate data insights into actionable recommendations for decision-makers
Collaborate with cross-functional teams and more senior team members
Assist in developing predictive models
Automate data collection processes
Ensure data quality and integrity
Communicate findings to non-technical stakeholders and present to business users

Requirements

What you’ll need

Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration is required
Other bachelor’s degrees with data science relevant certifications will be considered
Applied experience in strategic workforce planning, people analytics, resource planning, or related workforce discipline
Familiarity with SQL and Python
Knowledge of machine learning techniques and algorithms
Experience with data visualization tools like Posit or Power BI
Understanding of statistical methods and analysis of large datasets
Utility, energy, or regulated industry experience preferred
Experience working with HR, workforce, or other sensitive employee data preferred
Hands-on experience using experiments or causal impact evaluation preferred
Familiarity with reproducible analytical workflows, version control, model validation, and data quality practices preferred
Experience developing reusable statistical models, analytical tools, or data products preferred

Benefits

Comp & perks

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
Dependent Care Flexible Spending Account
Health Care Flexible Spending Account
Health Savings Account (HSA)
Limited-Purpose FSA
Transportation Reimbursement Account
Short-term disability (STD)
Long-term disability (LTD)
Employee Assistance Program (EAP)
Fitness Center Reimbursement
Tuition reimbursement
Transit programs
Employee recognition program
Pension
401(k) plan
Paid time off (PTO)
Holidays
Volunteer Paid Time Off (VPTO)
Parental Leave
Hybrid work model
Opportunities to grow and expand skills
Rewards, recognition, and support