Tite: Data Analyst Location: ST Louis, MO. Hybrid Schedule Contract W2 Only Data Synthesis & Analysis: You will work with existing dashboards that track critical manual efforts, toil across SDLC activities related to: Engineering Excellence: How efficiently and effectively our engineering teams operate. Technology Excellence: The quality and health of our technology stack. Security Scores: Our adherence to security best practices and vulnerability posture. Cloud Costs: Understanding and optimizing our cloud infrastructure spending. DORA Metrics: Key performance indicators for software delivery and operational performance (Deployment Frequency, Lead Time for Changes, Mean Time to Recovery, Change Failure Rate). Aha! Data Hygiene: Ensuring the quality and consistency of data within our product management platform. Opportunity Identification: Leveraging the insights gained from synthesizing these diverse dashboards, you will proactively spot trends, anomalies, and areas where individual teams can improve. Action Plan Development: You will collaborate directly with various engineering teams, translating data-driven observations into concrete, actionable plans that help them enhance their practices and outcomes. Support & Enablement: Provide technical support and guidance to teams as they implement these improvement initiatives. Required Technical Skills: 2-Years Proficiency in Python: Strong command of Python for data manipulation, scripting, and automation. 2-Years Proficiency in Java: Solid understanding of Java for interacting with enterprise systems and potential data processing tasks. 2-Years SQL (Structured Query Language): Ability to write and understand complex queries to extract and analyze data from various databases. 1-Year Data Visualization Tools (e.g., Tableau, Power BI, Looker Studio): Experience working with or interpreting data from enterprise-level dashboarding tools. Highly Desired Skills (A Plus!): Cloud Platforms (AWS, GCP): Basic understanding of cloud concepts and how costs are structured. Git & Version Control: Experience with Git for source code management. Scripting/Automation: Demonstrated ability to automate repetitive tasks. Aha!/Jira/Confluence: Familiarity with agile project management tools. Experience with DORA Metrics: Understanding of what DORA metrics are and their