Hybrid HR Ops Analyst: Process & Analytics

Summit Utilities Inc; Denver (CO); Hybrid; USD 69,000 - 87,000; Full time

Job summary

Summit Utilities, Inc. in Denver, CO is seeking an HR Operations Analyst I (SGL15) to strengthen HR effectiveness through core process optimization, workforce reporting, and knowledge management.

The role collaborates with HR Operations, Recruiting, Talent, and HRBPs to develop reliable data, standardized workflows, and clear documentation. Applicants should have a bachelor's degree and 3–4 years experience in HR Operations or related fields, with advanced Excel, Power Query, and Power BI

Qualifications

• Advanced Excel, Power Query, and Power BI are required for reporting.
• Experience building dashboards and HR data analyses.
• Ability to translate data into actionable insights.
• Experience working with cross-functional HR teams and stakeholders.
• Strong documentation and process-improvement skills.

Responsibilities

• Develop recurring and ad hoc HR dashboards, reports, and analyses.
• Partner with HR Operations, Recruiting, Talent, and HRBPs to optimize workflows.
• Document current-state processes and design future-state solutions.
• Ensure data accuracy, governance, and compliance in reporting.
• Create reusable templates to streamline HR reporting and enablement.

Skills

Advanced Excel

Data analysis

Power BI

Cross-functional collaboration

Education

Bachelor’s degree in HR, Business Administration, Data Analytics, Organizational Development, or related field

Tools

Power Query

Excel dashboards

Job description

Summit Utilities, Inc. in Denver, CO is seeking an HR Operations Analyst I (SGL15) to strengthen HR effectiveness through core process optimization, workforce reporting, and knowledge management.

The role collaborates with HR Operations, Recruiting, Talent, and HRBPs to develop reliable data, standardized workflows, and clear documentation. Applicants should have a bachelor's degree and 3–4 years experience in HR Operations or related fields, with advanced Excel, Power Query, and Power BI