People Analytics & Insights Specialist, Senior

People Analytics & Insights Specialist, Senior The Opportunity: Advance Booz Allen’s workforce and talent priorities by leading complex analyses that translate people and business questions into clear, evidence-based insights. Partner with People leaders, HR business partners, and business stakeholders to understand the decisions, opportunities, and challenges they are navigating, frame analytical questions, develop and test hypotheses, analyze workforce data, and communicate findings, implications, and recommendations in a clear and actionable way. Use governed people data from enterprise sources and analytics environments to identify trends, risks, opportunities, and potential drivers across the employee lifecycle, including hiring, retention, mobility, e nga gement, performance, skills , learning, employee experience , and workforce planning. Lead descriptive and diagnostic analyses, validate data quality, document assumptions and met hods, and create concise analytical outputs, visualizations, and executive-ready materials. Turn governed people data into decision-ready insights. Leverage strong problem framing, hypothesis-driven analysis, sound interpretation of evidence, and the ability to communicate implications clearly to stakeholders across People, HR, business, and analytics audiences. Help improve analytical standards, strengthen met ric definitions, and provide guidance to teammates on analytical approach, interpretation, and storytelling. Due to the nature of work performed within this facility, U.S. citizen ship is required . You Have: 5+ years of experience using data to analyze business, workforce, talent, operational, finan cia l, product, organizational, or human capital questions 3+ years of experience translating ambiguous business or stakeholder questions into analytical approaches, including defining the problem, identifying relevant data, develop ing hypotheses, selecting met hods, and communicating findings Experience leading analytical workstreams from problem definition through analysis, synthesis, and stakeholder-ready recommendations Experience using SQL to analyze data from enterprise systems, data warehouses, data lakes, or analytics environments Experience conducting analysis in shared analytics environments, data warehouses, data lakes, lakehouses, or cloud analytics platforms Experience using Excel to conduct analysis, validate data, reconcile discrepancies, build models, or create stakeholder-ready outputs, and with creating analytical outputs, visualizations, dashboards, or decision-support materials using tools such as Power BI, PowerPoint, or Excel Knowledge of statistical and analytical met hods, including distributions, outliers, correlation, sampling, variance, hypothesis testing, cohort analysis, segmentation, and regression or driver analysis Ability to communicate complex analytical findings, implications, caveats, and recommendations clearly to non-technical and senior audiences through written summaries, slides, and verbal briefings Ability to work with sensitive or confidential data with attention to detail, sound judgment, and awareness of privacy, governance, and responsible data use Bachelor’s degree Nice If You Have: Experience with people analytics, HR analytics, talent intelligence, workforce planning, recruiting analytics, employee listening, compe nsa tion analytics, organizational effectiveness, or related workforce topics Experience analyzing HR, workforce, or enterprise system data from Workday or similar platforms, and accessing, analyzing, or preparing data in Databricks or similar data lake, lakehouse, or cloud analytics platforms Experience using Python, R, or other analytical tools for data manipulation, analysis, automation, statistical modeling, or reproducible analytics, and with Power BI, including dashboard develop ment, met ric design, data visualization, or self-service analytics enablement Experience analyzing survey data, employee listening data, text data, or qualitative workforce data Experience integrating people data with business, finan cia l, operational, labor market, or organizational data to generate broader workforce insights Knowledge of employee lifecycle met rics, including headcount, hiring funnel, time to fill, internal mobility, promotion, attrition, e nga gement, performance, skills , learning, employee experience , or representation Knowledge of data strategy, data governance, met ric definitions, data quality, privacy principles, bias mitigation, or responsible use of employee data Ability to operate in an agile and iterative environment, manage multiple analytical priorities, and make progress through ambiguity Ability to provide analytical guidance to peers, review met hods or outputs, and help improve standards for problem framing, documentation, and storytelling Possession of strong presentation skills for conveying complex information to non-technical and executive audiences Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination o