What are the responsibilities and job description for the Business Data Quality Analyst position at Innovee Consulting LLC?
Role: Business Data Quality Analyst
Location: Austin, TX (100% Onsite)
Duration: Long Term
Responsibilities
In person interview will be required
Location: Austin, TX (100% Onsite)
Duration: Long Term
Responsibilities
In person interview will be required
- Strategic Liaison and Translation
- 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.
- Data Reporting and Visualization
- Extract, integrate, and analyze sample data from multiple complex internal and external sources to support HHS 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.
- Data Literacy and Training
- Champion data quality literacy across the organization by developing and conducting training sessions for non-technical staff.
- Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
- Promote a data-driven culture by enabling and empowering all employees to effectively utilize data profiling tools and AI.
- Collaboration and Problem-Solving
- Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
- Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
- Stay up to date on new AI and data quality tools and techniques to continuously improve data analytics, data quality and reporting.
- AI Prompting and Data Synthesis
- Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
- Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
- Develop a library of standardized prompts and query templates for common reporting needs.
- 8 years of experience gathering business requirements and translating complex data acquisition and operational requirements into clear, actionable data access paths for profiling and advanced analytics.
- 8 years of experience communicating technical findings, data insights, and data limitations to business users, executives, and leadership in clear, non-technical language.
- 8 years of experience in complex data analysis, senior business analysis, systems analysis, and/or data liaison roles supporting enterprise data initiatives.
- 8 years of experience using SQL for data extraction, profiling, transformation, manipulation, validation, and data enrichment.
- 8 years of experience collaborating with business users, performance analysts, and IT leadership to develop, validate, and maintain data profiles, analytics solutions, and business data lineage documentation.
- 8 years of experience demonstrating strong communication, presentation, stakeholder engagement, and interpersonal skills across cross-functional teams.
- 5 years of experience working with Business Intelligence (BI), Data Warehouse, and analytics platforms to support reporting and decision-making.
- 5 years of experience serving as the primary point of contact for program staff and business stakeholders regarding data profiling and analytics project requirements.
- 5 years of experience working in Health & Human Services (HHS), healthcare, or other highly regulated environments with strong knowledge of agency data domains and compliance requirements.
- 5 years of experience applying data governance, data quality management, and data stewardship principles to improve data integrity and usability.
- 5 years of experience utilizing data profiling and data analysis tools such as Snowflake Cortex, Toad, or similar platforms.
- 2 years of experience promoting and advancing data literacy initiatives across organizations to improve data-driven decision-making.
- 2 years of experience training, coaching, and mentoring staff with varying levels of data literacy and technical expertise.
- 1 year of experience developing and optimizing AI prompts to support data analysis, business intelligence, and operational efficiency initiatives.