Principal Data Analytics

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