nSenior Data Analyst

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master’s degree in a related field and 6-10 years of relevant experience.\n
• Minimum of 6 years of experience in data analysis, data visualization, or a related field.\n
• Experience performing data analysis in enterprise or mission environments.\n
• Experience with programming or query languages such as SQL, Python, or R.\n
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).\n
• Experience working with large datasets and data processing workflows.\n
• Strong analytical and problem-solving skills.\n
• Experience operating within SAFe or Agile frameworks supporting enterprise systems.\n
• Excellent communication and stakeholder engagement skills.\n, * Experience supporting DoD or Federal data analytics programs.\n
• Experience working with cloud-based data platforms (AWS, Azure, or GCP).\n
• Experience supporting analytics for AI/ML or data engineering workflows.\n
• Experience with big data technologies (e.g., Spark, Hadoop, or similar).\n
• Relevant certifications in data analytics, visualization, or related fields.\n
• Experience with customer success operations and service portfolio management.\n
• Experience with service catalog management and service level agreements.\n
• Experience with knowledge management systems and AI capabilities for knowledge generation.\n

n In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.\n \n This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.\n \n \nPrimary Responsibilities:\n \n \n

• Analyze structured and unstructured data to identify trends, patterns, and actionable insights.\n
• Develop and maintain dashboards, reports, and visualizations to communicate analytical findings.\n
• Perform data exploration, cleansing, transformation, and validation to ensure data quality and integrity.\n
• Apply statistical and analytical techniques to support mission and business decision-making.\n
• Collaborate with data engineers, data scientists, and business stakeholders to define and refine data requirements.\n
• Support development and delivery of enterprise data products and analytics solutions.\n
• Conduct ad hoc analysis and generate reports in response to stakeholder needs.\n
• Support integration of analytics into DevSecOps pipelines and operational workflows .\n
• Validate data outputs and ensure alignment with business and technical requirements.\n
• Document data sources, methodologies, and analytical processes.\n
• Identify opportunities to improve data analysis processes, tools, and reporting capabilities.\n
• Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.\n