Information Technology Data Analyst

Join our dynamic engineering team as an Information Technology Data Analyst based in Arlington, TX. Leverage advanced data mining, transformation, and modeling to drive productivity and deliver actionable insights. This is your opportunity to make a real impact on business outcomes by developing AI-powered solutions and supporting strategic decision-making in a fast-paced, collaborative environment., Develop, inspect, and transform complex datasets to support productivity and competitive advantage

• Conduct statistical analysis and predictive modeling to inform business decisions
• Build and maintain deterministic ETL pipelines and custom reports for seamless end-to-end data processing
• Validate and verify data accuracy, maintaining analytical systems and dashboards (Tableau/Databricks)
• Collaborate with technical developers, data scientists, and business stakeholders to define and govern data capabilities
• Act as a liaison between IT and business, ensuring clear communication of requirements and outcomes
• Manage project status reports, monitor progress, and support problem-solving with internal and external partners
• Track supplier task completion, manage system access, and ensure accurate security compliance
• Develop AI bots and automation to rapidly identify trends and efficiency gains across engineering teams

10 years of experience in data analysis within engineering or technical environments

• Proficient in Python (3.10+), capable of production-level scripting and ETL pipeline development
• Strong experience with AWS core services (S3, Lambda, boto3)
• Expertise in data cleaning, data integration, and document processing
• Skilled in SQL, data modeling (entity linking, key/join design), and API development (FastAPI)
• Proficiency in dashboarding and data visualization (Tableau), Databricks, and basic frontend-backend integration

[Preferred Skills]

• Knowledge of supply chain management systems and sourcing processes
• Frontend development (e.g., React)
• API integration and creation of stored procedures
• Experience with Tableau Prep, Alteryx, SSO, and authentication integration

Hybrid work schedule: On-site Monday-Wednesday, remote Thursday, flexible hours for work-life balance

• Opportunity to drive AI and automation adoption in a leading engineering environment
• Exposure to cross-functional project work and career advancement opportunities
• Collaborative, consensus-driven culture focused on innovation and future-state vision