Data Analyst Specialist
About The Position
As a Data Analyst Specialist on the Innovation and Automation team, you will serve as an internal consultant, applying your analytical expertise to our own engineering and operational processes. Your mission is to use data to find, quantify, and track opportunities for innovation and automation. You will analyze data from our CI/CD pipelines, system logs, code repositories, and project management tools to uncover bottlenecks, identify repetitive tasks, and measure the impact of the automation solutions our team builds. This is a hands-on role for an analyst who wants to use their skills to make our technical teams faster, more efficient, and more reliable.
Requirements
- 5+ years of experience in a data analyst or business intelligence role
- Expert-level proficiency in SQL for complex querying and data manipulation
- Strong scripting skills in Python or R for data analysis and automation
- Advanced skills in a data visualization tool such as Tableau, Power BI, or similar
- Demonstrated experience analyzing complex datasets to identify actionable insights
- Excellent problem-solving skills and the ability to translate ambiguous questions into concrete analytical tasks
- Active TS or TS/SCI clearance
Nice To Haves
- Experience analyzing DevOps, CI/CD, or software development lifecycle metrics (e.g., cycle time, lead time, deployment frequency)
- Familiarity with querying and analyzing data from tools like GitLab, Jenkins, Jira, or observability platforms (e.g., Grafana, Datadog)
- Experience working in a cloud environment (AWS, Azure)
- Experience working in a high-security DoD or Intelligence Community environment
- Strong communication skills with a proven ability to present technical findings to both technical and non-technical audiences
Responsibilities
- Analyze operational and engineering data (e.g., CI/CD logs, application performance metrics, data pipeline runtimes, Jira data) to identify trends, inefficiencies, and opportunities for automation.
- Develop and maintain a suite of dashboards and reports in tools like Tableau or Power BI to visualize key performance indicators (KPIs) for engineering efficiency, platform health, and delivery velocity.
- Partner with the Automation Lead and engineers to provide a data-driven basis for prioritizing new automation initiatives.
- Perform "before and after" analysis to quantify the impact of automation, such as reduced deployment times, decreased error rates, or improved system performance.
- Translate complex technical data into clear, actionable insights and present findings and recommendations to engineering leadership.
- Act as a subject matter expert on measuring and monitoring the health and performance of technical systems and development lifecycles.
- Automate your own analytical workflows using Python, SQL, and other scripting tools to create scalable and repeatable analyses.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
