• Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs. • Design, build, and maintain scalable dbt models and data pipelines supporting financial reporting (ARR, billing, revenue recognition) as well as operational, product, and GTM analytics. • Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions. • Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions. • While building towards automation, understanding the user needs to process manual tasks. • Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement. • Connect data and logic across domains, identifying how systems relate and surfacing opportunities to simplify, standardize, or automate. • Advocate for high standards in data quality, clarity, documentation, and maintainability.

• Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs. • Design, build, and maintain scalable dbt models and data pipelines supporting financial reporting (ARR, billing, revenue recognition) as well as operational, product, and GTM analytics. • Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions. • Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions. • While building towards automation, understand the user needs to process manual tasks. • Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement. • Connect data and logic across domains, identifying how systems relate and surfacing opportunities to simplify, standardize, or automate. • Advocate for high standards in data quality, clarity, documentation, and maintainability.

• Using advanced-level SQL queries • Investigate issues with ETL pipelines • Create and enhance data pipelines by performing ETL activities.

• Supports the Bluhm Cardiovascular Institute (BCVI) and reflects the mission, vision, and values of NM • Be a Data Champion - advocate for data accessibility, accuracy and quality • Find data nuggets, trends and other analytical goodies that help support our mission • Collaborate with a diverse cross-section of technical and business professionals • Deliver data warehouse and analytic solutions by writing ETL packages, developing visualizations, performing data and statistical analyses, and administering systems to deliver information • Serve as a functional and content expert of pipelines to synthesize raw data into actionable information • Apply knowledge of relational database skills including advanced SQL knowledge and the ability to create complex queries and stored procedures • Assist with the design and development of information delivery components including dashboards, reports, and cubes • Evaluate data quality and interpret results in a clear, concise manner • Develop documentation on requirements, decisions, design, modifications, and any associated maintenance • Own analytics projects and collaborate with the business to gather and execute on requirements • Work collaboratively with multi-departments efforts and projects • Share skills, experience, knowledge, and expertise with staff on analytic tools and serve as subject matter expert