Data Analyst (onsite)

Vitaver & Associates•Austin, TX

1d•Onsite

About The Position

Our Client is hiring a Data Analyst (onsite). This is a temporary project estimated to last 12 months with possible extensions. The role requires 100% of the time to be spent at the Client’s site in Austin, TX. No telecommuting or remote work is allowed, which is a non-negotiable requirement from the client. Only candidates able to relocate as required should apply. The position involves gathering business requirements, translating complex data requests into actionable queries, explaining technical findings to end-users, performing complex data analysis, and collaborating on reports and dashboards.

Requirements

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).
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).

Nice To Haves

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).
Experience with Data profiling tools such as Snowflake Cortex or Toad (5 years).
Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance (5 years).
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 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.
Work with program areas, project sponsor and system SMEs to understand data domains and common data quality issues.
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.