Advisor, Workforce Reporting & Insights

Phillips 66 & YOU - Together we can fuel the future The Advisor, Workforce Reporting & Insights designs, develops, and delivers workforce analytics, reporting, and decision-support solutions that help Human Resources and business leaders make informed people and business decisions. This role combines workforce analytics expertise with data science, business consulting, and data storytelling capabilities. The Advisor serves as a trusted analytical consultant: clarifying business questions, identifying the right data and methods, developing rigorous analyses, translating findings into practical recommendations, and helping stakeholders act on the results. The role also stewards workforce reporting products, metrics, data quality, and self-service capabilities across multiple HR data sources. Position can be based in Bartlesville, Oklahoma, or Houston, Texas. What You’ll Do Business consulting and insight development Partner with HR, business, and functional leaders to understand strategic priorities, frame ambiguous workforce questions, define measurable outcomes, and translate business problems into hypotheses, analytical plans, decision criteria, and clear deliverables. Lead analytical engagements from intake and scoping through analysis, recommendation, delivery, and follow-up. Advise stakeholders on appropriate metrics, analytical approaches, data limitations, and interpretation of results. Develop recommendations that connect workforce findings to business implications, including talent supply, workforce composition, retention, mobility, hiring, capability needs, organizational effectiveness, and other workforce priorities. Build trusted relationships with stakeholders and manage expectations regarding scope, timing, data availability, and level of confidence in findings. Data science and advanced analytics Apply descriptive, diagnostic, predictive, and prescriptive analytical methods to workforce and business data, selecting approaches appropriate to the business question. Clean, integrate, transform, and validate structured and unstructured data from HR systems, surveys, enterprise data sources, and relevant external sources. Use statistical methods such as trend analysis, segmentation, correlation, hypothesis testing, sampling, survey analysis, forecasting, and model evaluation. Develop, test, validate, and document analytical models, forecasts, decision aids, and other advanced-analytics solutions when they provide meaningful business value. Assess assumptions, data quality, bias, uncertainty, and model limitations; communicate those considerations clearly to technical and nontechnical audiences, while identifying opportunities to automate recurring analysis and responsibly apply emerging analytics and AI capabilities. Reporting, visualization, and self-service analytics Develop, enhance, and manage recurring, ad hoc, operational, compliance, and executive workforce reporting. Create…