• Lead the design and delivery of end-to-end analytics solutions, from requirements to deployment and optimization • Ensure analytics products meet Enterprise Operations Insights standards for data modelling, UX design, and storytelling • Drive adoption of AI-ready data practices, ensuring data is structured for scalability and AI consumption • Collaborate closely with Data Engineering to align on architecture, dataflows, and optimized data structures • Actively contribute to building, testing, refining, and improving AI-driven analytics solutions • Drive stakeholder engagement through clear communication, proactive updates, and expectation management

• Implement cost monitoring and alerting solutions across cloud platforms under senior guidance • Develop scripts and automation tools to support cost optimization workflows • Assist in building cost allocation and tagging implementations for accurate cost attribution • Create and maintain cost optimization dashboards and reporting tools • Support integration efforts between cloud billing APIs and internal systems • Contribute to tooling development that supports FinOps processes across product and platform groups • Help implement cost guardrails and automated policies to prevent cost overruns • Assist in developing cost data collection and processing pipelines • Support technical documentation creation for cost-efficient infrastructure patterns • Participate in code reviews and technical design discussions • Monitor and maintain existing cost management tools and systems • Assist in troubleshooting cost-related technical issues • Help implement and test cost optimization recommendations • Support data quality initiatives for cost reporting accuracy • Participate in on-call rotation for cost management systems

• Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. • Manage and enhance data transformations with dbt where necessary. • Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. • Use Git for version control and collaboration. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. • Leverage AI tools to be 10x more productive than the average analyst.

Role Description ETL Datawarehouse Developer Location: Remote Project Length: 1 year Status: US Citizen Experience: 5+ years Pay: $65-75/hr Bill: $120 Agency: NOAA Program: NMITS BPA /NOS Data Team Due Date: 6/8 Max sub: 3 2 references with each sub Qualifications - Must have experience in Data Warehousing and ETL/ELT processes - Must be proficient with big data ecosystems and frameworks designed for distributed processing of large datasets in distributed cloud-native frameworks - Must have experience with Data Modeling and Database Design - Must have experience designing frameworks that enforce data policies, standards, and procedures to maintain data integrity and fitness for use - Must have experience and be proficient in managing large, modern, complex data projects, prioritizing tasks, guiding and mentoring teammates, and executing on time and within budget while fostering a culture of excellence and setting technical standards - Must have experience being a central communication hub, acting as a bridge between highly technical teams and non-technical stakeholders - Must be able to articulate complex technical designs, and their implications in clear, concise language Requirements - Experience in Data Warehousing and ETL/ELT processes - Proficiency with big data ecosystems and frameworks - Experience with Data Modeling and Database Design - Experience designing frameworks for data policies and standards - Proficiency in managing large data projects - Ability to communicate between technical and non-technical teams