M1 Technology
Mission Value Data Analyst
Bethesda, Maryland, United States · Senior
Sponsorship not specifiedDetected 82 days ago
Data AnalysisData VisualizationExcelLeadershipCommunication
About the role
- Be part of a high performing small team charged with helping a government customer transition critical technology to users, support the highest impact missions, and effectively communicate the success of innovative technical capabilities and programs.
- - Establish quick wins by gathering and documenting qualitative and quantitative evidence of impact to missions supported by technical programs.
Responsibilities
- Develop a set of investment review criteria and processes to ensure that programs map to customer mission needs.
- Establish success criteria and document progress and mission impact of innovative technical programs
- Use tools including Advanced Excel, Microsoft Power BI, and Tableau to document, analyze, visualize, and communicate important success metrics, trends and decision-support information s in a manner that resonates with both technical and non technical audiences
- Work with communications lead to effectively convey to leadership and other stakeholders progress and achievement and how that progress aligns with strategic priorities.
- Experience developing and managing mission value narratives and technology/program success metrics
Requirements
- 5+ years in the IC
- Strong data analysis and visualization skills with experience in associated tools (PowerBI, Tableau, other)
- Ability to work across technical and non-technical stakeholders and audiences
Company info
- Engage with customers/users across stakeholders to collect highlights, success stories, feedback, and metrics
- Be part of a high performing small team charged with helping a government customer transition critical technology to users, support the highest impact missions, and effectively communicate the success of innovative technical capabilities and programs.
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This listing is sourced directly from M1 Technology's careers page and normalized into a canonical job model.