Analytics Tool Champion - Senior

Peraton seeks an Analytics Tool Champion to support DCDC, promoting the adoption, effective utilization, and continuous improvement of data analytics and visualization platforms across the DASC.  Location: Fort Meade, MD.  In this role, you will drive data literacy and analytical capability maturity by ensuring all team members and mission partners are proficient with DASC analytics tools — including ASOM, Analytic Crosswalk, SchemaOne, Power BI, and Jupyter Notebook environments — in direct support of ARCYBER's intelligence-driven, data-centric defensive operations mission.

Responsibilities:

• Serve as the designated SME and internal advocate for DASC-supported analytics platforms, including ASOM (Analytic and Supervising Operational Mitigator), Analytic Crosswalk, SchemaOne, Microsoft Power BI, and Jupyter Notebook/Python analytics environments
• Design and deliver training programs, workshops, and knowledge-sharing sessions that increase analyst proficiency and confidence in using DASC analytics tools; develop user guides, quick-start references, and video walkthroughs as needed
• Monitor analytics tool adoption and usage trends across DASC teams; identify gaps in utilization and implement targeted initiatives to improve engagement and self-service capability
• Serve as the primary liaison between data consumers (analysts, cyber operators, mission partners) and the Data Team and Support Team; translate user needs into actionable tool configuration and feature development requests
• Maintain an analytics tool documentation library, including SOPs, how-to guides, workflow templates, and best practice references aligned with current platform versions
• Collaborate with the Data Governance Team to promote consistent data standards, metadata practices, and quality assurance habits among analytics tool users
• Support the development and refinement of Power BI dashboards and ASOM analytics packages by gathering user requirements, conducting usability reviews, and facilitating user acceptance testing (UAT)
• Build and manage an Analytics Tool Champion community of practice across DASC teams; coordinate peer mentoring, lunch-and-learn sessions, and knowledge-sharing forums
• Track and report on analytics tool adoption KPIs, training completion, and user-reported outcomes; brief the TPM and government leads on progress and recommended improvements
• Identify opportunities to introduce new analytics capabilities, AI-assisted tools (e.g., Ask Sage, Hive Mind / Vantage AI), and workflow enhancements that advance ARCYBER's analytic superiority objectives

Required:

• Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 16 years with HS; Minimum of 14 years with Associates. 
  • 8 years of professional software development experience -- responsibility for designing, delivering, and maintaining production software
• Demonstrated proficiency with one or more DASC analytics platforms (ASOM, Power BI, Analytic Crosswalk, Jupyter/Python, or equivalent DoD analytics tools)
• Strong training, facilitation, and communication skills; ability to translate complex analytical concepts for non-technical audiences across operational and leadership levels
• Familiarity with data governance principles, metadata management, and data quality best practices
• Experience developing training materials, user documentation, and standard operating procedures for analytics tools
• U.S. Citizenship required.
• Active TS with ability to obtain SCI.

Preferred:

• Highly Preferred 5–8 years of experience in data analytics, business intelligence, data science support, or a closely related field
• Demonstrated proficiency with one or more DASC analytics platforms
• Experience supporting ARCYBER, DCDC, or DoD intelligence/analytics environments
• Background in instructional design, change management, or user experience (UX)
• Proficiency with Python, SQL, or data visualization scripting in support of analytics workflows
• Familiarity with DoD data strategy principles (VAULTIS), MITRE ATT&CK analytics integration, and big data platforms (Hadoop, Spark, Kafka)
• Microsoft Power BI certification or equivalent BI platform credential