Principal, Data/Analytics and Benchmarking

UKG•,

1d•$129,500 - $186,100

About The Position

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.

Requirements

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.