Data Analyst Specialist

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.

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.

Required Qualifications:

• 2 years of professional experience
• Experience in a data analyst or business intelligence role
• Experience with SQL Python or R
• Experience with tool such as Tableau Power BI or similar

Preferred Qualifications:

• 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

Security Clearance:

• Active Secret or TS or TS/SCI clearance