14676 - Data Analyst (onsite) - Austin, TX

Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work. This is a non-negotiable requirement from the client.
Only candidates able to relocate as required should apply to avoid removal from future consideration.

Our Client is hiring a Data Analyst (onsite)
529701732
Required:
• Availability to work 100% of the time at the Client's site in Austin, TX.
• Experience with Gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources (10 years).
• Experience explaining technical findings and data limitations in simple, non-technical language to end-users (10 years).
• Experience with Complex data analysis, senior business/systems analyst, and/or data liaison role (10 years).
• Experience with SQL for data extraction and manipulation (10 years).
• Experience with Collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting (10 years).
• Excellent communication, presentation, and interpersonal skills (10 years).
• Experience with Data visualization tools such as Power BI and/or Tableau (10 years).

Preferred:
• Experience with Leading as a technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and project artifacts (5 years).
• Experience with Business Intelligence/Data Warehouse (BI/DW) (5 years).
• Experience with Acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting (5 years).
• Experience with Working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements (5 years).
• Experience with Data governance and data quality principles (5 years).
• Experience with Championing data literacy across the organization by developing and conducting training sessions for non-technical staff (2 years).
• Experience with Training and mentoring staff with varying levels of data literacy (2 years).
• Experience with Creating AI prompt catalogs using tools such as Streamlit with Python (1 years).
• Experience with Applying responsible AI practices and compliance with agency standards (1 year).

Responsibilities:
• Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
• Lead as technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts.
• Act as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
• Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
• Explain technical findings and data limitations in simple, non-technical language to end-users.
• Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
• Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.

Please see below some more positions you may be interested in:
529701734 / 529701733
Required:
• Availability to work 100% of the time at the Client's site in Austin, TX.
• 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 with 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).
• Excellent communication, presentation, and interpersonal skills (8 years).

Preferred:
For 529701734:
• Experience with Data profiling tools such as Snowflake Cortex or Toad (5 years).

For 529701733:
• Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance (5 years).

For all:
• 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 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.