Data Analyst - Enterprise Systems & Business Intelligence
Role summary
We are seeking a mission-aligned, strategically-minded Data Analyst to enhance enterprise-wide visibility and decision intelligence. This role involves leading the analysis, visualization, and interpretation of data from enterprise platforms like Splunk ITSI and ServiceNow, transforming it into actionable insights and executive dashboards using Power BI and Tableau. The ideal candidate possesses a strong understanding of the end-to-end data engineering lifecycle, with a focus on rigorous testing, verification, and validation of data pipelines to ensure accuracy, reliability, and trust. Responsibilities include analyzing complex datasets across various domains, developing real-time insights, collaborating with stakeholders, and partnering with data engineering teams to maintain data integrity.
We’re seeking a mission-aligned, strategically-minded Data Analyst to support enterprise-wide visibility and decision intelligence across business, engineering, operations, cost, performance, and security data.
In this role, you’ll lead the analysis, visualization, and interpretation of data from enterprise platforms like Splunk IT Service Intelligence (ITSI) and ServiceNow, transforming raw inputs into powerful insights and executive dashboards using Power BI and Tableau.
The ideal candidate understands the end-to-end data engineering lifecycle, and brings rigor to the testing, verification, and validation (V&V) of data pipelines and collections to ensure accuracy, reliability, and trust.
Core Position Responsibilities
- Analyze and interpret complex data sets across enterprise domains—cost, performance, service operations, engineering workflows, and cybersecurity.
- Leverage Splunk ITSI to develop and manage KPIs, service definitions, glass tables, and episode dashboards to provide real-time insights and visibility.
- Design and deliver dynamic, intuitive dashboards in Power BI and Tableau that communicate key metrics to both technical and executive audiences.
- Collaborate with stakeholders across IT, business, and finance to translate mission needs into analytical solutions and forecast models.
- Partner with data engineering teams to understand data flows, support validation processes, and ensure quality across source systems and downstream products.
- Perform and document testing, verification, and validation (V&V) of data pipelines and collections to ensure integrity and trustworthiness.
- Contribute to data governance and data quality frameworks across enterprise systems.
Required Skills & Experience
- Position requires an Active Top Secret/SCI with Full Scope Polygraph
- Bachelor's Degree required, Master's preferred
- 12+ years of related work experience
- Demonstrated experience analyzing business, engineering, cost, and security data across enterprise platforms.
- Hands-on expertise in Splunk ITSI, including configuration of services, KPIs, and service health monitoring tools.
- Strong skills in Power BI, Tableau, SQL, and Excel for analysis, modeling, and executive reporting.
- Familiarity with ServiceNow data models, workflows, and reporting structures.
- Understanding of the data engineering lifecycle and collaboration with data pipeline teams.
- Experience with data validation and V&V processes to ensure the accuracy, completeness, and consistency of data used in decision-making.
Preferred Qualifications
- Experience in Agile, Scrum, or ITIL-aligned operational environments.
- Familiarity with modern data platforms (data lakes, cloud data environments) and structured/unstructured data management.
- Ability to create multi-layered dashboards that serve business, operations, and technical audiences.
- Clear communicator with a strong ability to translate complex analysis into actionable insights aligned to mission objectives.
- Curiosity-driven and impact-oriented—driven to uncover the “why,” not just the “what.