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Analytics & Insights Specialist

Job in Jamestown, Stutsman County, North Dakota, 58405, USA
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 55200 - 126000 USD Yearly USD 55200.00 126000.00 YEAR
Job Description & How to Apply Below
Position: People Analytics & Insights Specialist

Your growth matters to us - explore our career development opportunities.

BE EMPOWERED TO SUCCEED

Connect with others in our people-first culture and enhance our collective ingenuity.

SUPPORT YOUR WELLBEING

Learn how we’ll support you as you pursue a balanced, fulfilling life.

YOUR CANDIDATE JOURNEY

Discover what to expect during your journey as a candidate with us.

Advance Booz Allen’s workforce and talent priorities by translating complex 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. 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, engagement, performance, skills, learning, and workforce planning. Conduct descriptive and diagnostic analyses, validate data quality, document assumptions and methods, and create concise analytical outputs, visualizations, and executive-ready materials.

This role is focused on turning governed people data into decision-ready insights. Success requires 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. Due to the nature of work performed within this facility, U.S. citizenship is required.

The Opportunity

Advance Booz Allen’s workforce and talent priorities by translating complex 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. Communicate findings, implications, and recommendations in a clear and actionable way.

You Have
  • 2+ years of experience using data to analyze business, workforce, talent, operational, financial, product, or organizational questions
  • 1+ years of experience translating ambiguous business or stakeholder questions into analytical approaches, including defining the problem, identifying relevant data, developing hypotheses, selecting a method, and communicating findings
  • Experience using SQL or similar methods to analyze data from enterprise systems, data warehouses, data lakes, or analytics environments
  • Experience using Excel to conduct analysis, validate data, reconcile discrepancies, build models, or create stakeholder-ready outputs
  • Experience creating analytical outputs, visualizations, dashboards, or decision-support materials using tools such as Power BI, PowerPoint, or Excel
  • Knowledge of statistical concepts, including distributions, outliers, correlation, sampling, variance, and hypothesis testing
  • Ability to communicate analytical findings clearly to non-technical audiences through written summaries, slides, and verbal briefings
  • Ability to work with sensitive or confidential data with attention to detail and sound judgment
  • Bachelor's degree
Nice If You Have
  • Experience with people analytics, HR analytics, talent intelligence, workforce planning, recruiting analytics, employee listening, compensation analytics, organizational effectiveness, or related workforce topics
  • Experience analyzing HR, workforce, or enterprise system data from Workday
  • Experience accessing, analyzing, or preparing data in shared analytics environments, including Databricks or data lake, lakehouse, or cloud analytics platforms
  • Experience using analytical tools such as Python or R for data manipulation, analysis, automation, or statistical modeling
  • Experience with business intelligence such as Power BI and data visualization tools
  • Experience analyzing survey data, employee listening data, text data, or qualitative workforce data
  • Knowledge of employee lifecycle metrics, including headcount,…
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