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Principal, Data​/Analytics and Benchmarking

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: UKG (Ultimate Kronos Group)
Full Time position
Listed on 2026-08-26
Job specializations:
  • Business
    Business Intelligence, Data Analyst
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 186000 USD Yearly USD 130000.00 186000.00 YEAR
Job Description & How to Apply Below

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About the Team:

The Enterprise Strategic Programs and Business Operations team develops enterprise integrated planning process and operating rhythm with coordinated plans, disciplined execution, and transparent performance management. We partner across functions and product lines to orchestrate enterprise planning, lead high-priority cross-functional initiatives, and build company-level execution management framework to ensure seamless execution. The team is uniquely positioned at the intersection of enterprise strategy, planning, operating cadence, and transformation, with broad visibility across UKG functions and direct exposure to senior leaders.

About the Role:

The Principal, Data/Analytics and Benchmarking will 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.

  • Define the data, analytics, and benchmarking roadmap for enterprise planning and transformation, prioritizing the questions, metrics, and capabilities that will most improve decision quality
  • Establish consistent metric definitions, calculation logic, data sources, and documentation so leaders can rely on a transparent and comparable fact base
  • Collaborate closely with Enterprise Systems, Finance, and relevant functional teams to collect and reconcile source data, identify inconsistencies or emerging trends
  • Conduct internal and external benchmarking to identify performance gaps, leading practices, and realistic improvement opportunities across functions, products, and operating processes.
  • Build analytical models, scenarios, dashboards, and scorecards that reveal trends, drivers, sensitivities, and trade-offs relevant to enterprise priorities and investment decisions.
  • Translate complex analyses into executive-ready narratives and visualizations that clearly communicate the insight, business implication, and recommended action.
  • Partner with Finance, Enterprise Systems, and functional owners to resolve data quality issues, improve repeatability, and strengthen governance for critical enterprise metrics.
  • Lead high-priority ad-hoc analyses by rapidly structuring ambiguous questions, integrating multiple data sources, and delivering defensible recommendations under tight timelines.
Qualifications:
  • 7+ years’ experience in enterprise business operations, data analytics, data science, strategic finance, or a related quantitative field
  • Demonstrated experience using data and external benchmarks to diagnose business performance, identify drivers and gaps, and develop strategic recommendations
  • Advanced analytical proficiency with Excel and data querying, modeling, or visualization tool such as SQL, Power BI, Tableau, Python, or an equivalent platform
  • Proficient in using AI to drive automated reporting and dashboarding
  • Demonstrated experience converting complex analyses into executive-ready presentations and written recommendations that are concise, visually clear, and decision oriented.
  • Experience with SaaS, enterprise software, workforce technology, or comparable business models and performance metrics
  • Experience building benchmarking libraries, metric taxonomies, data dictionaries, or governed executive dashboards used across multiple functions
  • Ability to pair analytical depth with strategic judgment, intellectual curiosity, and confident communication with senior leaders…
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