Senior Data Analytics & Benchmarking Lead, Enterprise

UKG (Ultimate Kronos Group); Denver (CO); 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 and performance management. You will define decision-relevant metrics, collect data, develop models and dashboards, and combine internal performance data with external benchmarks to generate executive-ready insights.

You will partner with Finance and Enterprise Systems to ensure data quality, lead high-priority analyses, and translate complex results into clear recommendations

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 and non-technical stakeholders
• Advanced degree in analytics, data science, finance, statistics, or a related discipline, MBA preferred

Responsibilities

• 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

Skills

Excel

SQL

Power BI

Tableau

Python

Data visualization

AI in reporting

Executive communication

Education

Advanced degree in analytics, data science, finance, statistics, or related discipline, 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 and performance management. You will define decision-relevant metrics, collect data, develop models and dashboards, and combine internal performance data with external benchmarks to generate executive-ready insights.

You will partner with Finance and Enterprise Systems to ensure data quality, lead high-priority analyses, and translate complex results into clear recommendations