Business Data Analyst / Methodologist

You’ll partner directly with customer stakeholders to design meaningful surveys, facilitate focus groups, analyze qualitative and quantitative data, develop dashboards and visualizations, and present actionable recommendations to leadership. This is an opportunity to work on projects that directly influence workforce strategy, organizational performance, and mission success.

The ideal candidate is a curious problem solver who enjoys translating complex datasets into clear, compelling stories. They are equally comfortable working independently and collaborating with multidisciplinary teams to solve challenging business problems., * Bachelor’s degree in Computer Science, Computational Social Science, Business Analytics, Data Analytics, or another field emphasizing advanced data analytics. \n

• One of the following:\n \n

• Bachelor’s degree with 12+ years of advanced data analytics experience. \n

• Master’s degree with 10+ years of advanced data analytics experience. \n

• Associate’s degree with 15+ years of advanced data analytics experience. \n \n

• Experience cleaning, preparing, and analyzing data from multiple sources. \n

• Experience identifying trends and translating data into meaningful business insights. \n

• Experience developing performance measures and executive dashboards. \n

• Strong written and verbal communication skills, including presenting findings to senior stakeholders. \n

• Ability to work independently while collaborating across multidisciplinary teams. \n

• Proficiency with Microsoft Excel, PowerPoint, and Word. \n, n \n

• Experience with Power BI, Tableau, or similar data visualization tools. \n

• Experience with SQL, MS Access, Oracle, SQL Server, or other relational databases. \n

• Experience supporting Intelligence Community customers or workforce analytics initiatives. \n

• Experience producing executive-level visualizations, charts, and presentations. \n

• Familiarity with survey methodology, employee engagement research, organizational assessments, or workforce studies. \n

• Experience using AI-enabled analytic tools or Large Language Models to support qualitative data analysis. \n

n \n

• Partner with customer stakeholders to identify business questions and develop effective survey strategies. \n

• Design, build, administer, and manage surveys using customer-provided survey platforms. \n

• Plan and facilitate focus groups and analyze qualitative findings alongside survey results. \n

• Clean, organize, validate, and prepare data for analysis. \n

• Analyze structured and unstructured data to identify meaningful trends, patterns, and workforce insights. \n

• Develop performance measures, dashboards, and visualizations that effectively communicate findings. \n

• Collaborate with database developers, methodologists, and other analytic team members to integrate multiple data sources. \n

• Produce briefing materials and executive-level presentations that clearly communicate analytic findings and recommendations. \n

• Leverage Large Language Models (LLMs) and other AI-enabled tools to assist in analyzing open-ended survey responses and identifying themes. \n

• Support recurring survey programs and longitudinal analysis to identify trends over time. \n

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If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares.