Principal, Data Analytics & Benchmarking for Enterprise

UKG (Ultimate Kronos Group); Topeka (KS); On-site; USD 130,000 - 186,000; Full time

Job summary

UKG is seeking a Principal, Data/Analytics and Benchmarking to build the analytical foundation for enterprise planning, performance management, and strategic initiative decisions. This role will define decision-relevant metrics, collect data, develop models and dashboards, and combine internal performance data with external benchmarks to generate executive-ready insights and recommendations.

You will partner with Finance, Enterprise Systems, and functional owners to resolve data quality issues,

Qualifications

• 7+ years’ experience in enterprise business operations, data analytics, data science, strategic finance, or a related quantitative field.
• Advanced analytics proficiency with Excel and data querying, modeling, or visualization tools such as SQL, Power BI, Tableau, Python.

Responsibilities

• Define the data, analytics, and benchmarking roadmap for enterprise planning and transformation, prioritizing questions and metrics.
• Establish consistent metric definitions, calculation logic, data sources, and documentation for transparency.
• Collaborate with Finance, Enterprise Systems, and functional teams to collect and reconcile source data.
• Build analytical models, scenarios, dashboards, and scorecards revealing trends, drivers, and trade-offs.

Skills

Excel

SQL

Power BI

Tableau

Python

Data visualization

Education

MBA preferred

Tools

SQL

Power BI

Tableau

Python

Job description

UKG is seeking a Principal, Data/Analytics and Benchmarking to build the analytical foundation for enterprise planning, performance management, and strategic initiative decisions. This role will define decision-relevant metrics, collect data, develop models and dashboards, and combine internal performance data with external benchmarks to generate executive-ready insights and recommendations.

You will partner with Finance, Enterprise Systems, and functional owners to resolve data quality issues,