14676 - Senior Metadata Ingestion Analyst (remote) - Austin, TX
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: Remote
Required:
• Experience with Gathering business requirements and translating complex data/metadata acquisitions and operational requirements into clear, actionable access paths for data profiling/glossaries for complex analytics (8 years).
• Experience Explaining technical findings and data limitations in simple, non-technical language to end-users and leadership (8 years).
• Experience with Complex data analysis, senior business/systems analyst, and/or data liaison role (8 years).
• Experience with SQL for data extraction, data profiling, manipulation and enrichment (8 years).
• Experience Collaborating with end-users and performance analysts or IT internal leaders to create and validate data profiles for analytics development and business data lineage analysis (8 years).
Preferred:
• Experience with Business Intelligence/Data Warehouse (5 years).
• Experience with Acting as the primary point of contact for program staff with data profiling, metadata/glossary needs for analytics projects (5 years).
• Experience with Working in a health and human services or similarly regulated environment, with a strong understanding of agency data/metadata domains (5 years).
• Experience with Data governance and data quality principles (5 years).
• Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC) and Axon Data Governance (5 years).
• Experience with Championing data literacy across the organization (2 years).
• Experience with Training and mentoring staff with varying levels of data literacy (2 years).
• Experience with AI prompt development (1 year).
Responsibilities:
• Work with program areas, project sponsor and system SMEs to understand data domains and common data quality issues.
• Explain technical findings and data limitations in simple, non-technical language to end-users.
• Extract, integrate, and analyze sample data from multiple complex internal and external sources to support analytics needs.
• Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing data quality profiles for constantly emerging analytics needs.
• Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
• Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
• Champion data quality literacy across the organization by developing and conducting training sessions for non-technical staff.