Partner with CIDO leaders to translate ambiguous operational and strategic questions into structured analytic approaches and solutions.
Extract, transform, and analyze data from complex enterprise systems (e.g., ITSM platforms, CMDB, infrastructure monitoring tools, DevOps pipelines, cybersecurity systems, financial systems).
Conduct quantitative analyses using statistical and computational methods to identify trends, risks, and optimization opportunities.
Present findings through clear data storytelling tailored to executive and technical audiences.
Develop and maintain analytic products, dashboards, and automated pipelines that reduce manual reporting and accelerate time-to-insight.
Define, develop, and govern business metrics and KPIs aligned to enterprise technology goals.
Collaborate with data engineering and platform teams to deploy analytics solutions and support model deployment.
Stay current on industry trends, emerging AI capabilities, and best practices in enterprise analytics.
Requirements
Bachelor’s degree with 8 years of related professional experience, OR Master’s degree with 6 years of related professional experience, OR PhD with 4 years of related professional experience.
Strong proficiency in SQL for extracting, manipulating, and querying large, complex datasets.
Strong proficiency in Python (preferred) or R for data analysis, visualization, and automation.
Experience applying quantitative and statistical methods to solve operational or business problems.
Experience developing interactive data visualizations using business intelligence tools (e.g., Power BI, Tableau).
Demonstrated experience translating ambiguous problems into structured analytic solutions.
Experience developing performance metrics and using them to inform strategic or operational decisions.
Strong data storytelling and executive communication skills.
Experience collaborating across technical and business teams.
Ability to obtain and maintain a DoD security clearance.