Senior Data Quality & Analytics Analyst
Position Summary
We are seeking an experienced Senior Data Quality & Analytics Analyst to serve as a strategic liaison between business stakeholders, program teams, and technical teams. This role is responsible for ensuring high-quality, reliable data is available for analytics, reporting, and decision-making across the organization. The ideal candidate will possess strong data analysis, SQL, data profiling, data governance, and stakeholder management skills, along with the ability to translate complex technical concepts into business-friendly language.
The successful candidate will play a key role in advancing data quality initiatives, supporting AI-enabled analytics, promoting data literacy, and enabling business users to effectively leverage data assets for informed decision-making.
Key Responsibilities
Strategic Liaison & Business Translation
Partner with program areas, project sponsors, business stakeholders, and system Subject Matter Experts (SMEs) to understand data domains, business processes, and data quality challenges.
Gather, analyze, and document business requirements related to data analytics, reporting, and data profiling initiatives.
Translate complex technical findings, data limitations, and analytical results into clear, actionable insights for non-technical audiences.
Act as a trusted advisor for business users seeking guidance on data interpretation and reporting.
Data Analysis, Reporting & Visualization
Extract, integrate, profile, and analyze data from multiple internal and external data sources using SQL and data profiling tools.
Develop and validate data quality profiles, metrics, and reporting outputs to support organizational analytics initiatives.
Collaborate with business leaders, analysts, and IT teams to create meaningful visualizations and dashboards.
Ensure data outputs comply with organizational reporting standards, governance policies, and regulatory requirements.
Identify data inconsistencies, anomalies, and quality issues and recommend corrective actions.
AI Enablement & Data Synthesis
Develop and optimize AI prompts and query strategies for accurate data retrieval, synthesis, and reporting.
Evaluate AI-generated outputs for accuracy, consistency, and potential hallucinations.
Guide business users in leveraging AI tools effectively while maintaining data integrity and reliability.
Create and maintain standardized prompt libraries and reusable query templates for common business reporting needs.
Data Governance & Quality Management
Support enterprise data governance initiatives and promote best practices in data quality management.
Perform business data lineage analysis and assist in documenting data flows and data definitions.
Collaborate with data engineering and IT teams to implement data quality controls and remediation strategies.
Ensure adherence to data governance standards and compliance requirements.
Data Literacy & Training
Champion data literacy initiatives across the organization.
Develop training materials, user guides, documentation, and tutorials related to data profiling tools and AI-assisted analytics.
Conduct workshops and training sessions for staff with varying levels of technical expertise.
Foster a data-driven culture by empowering users to understand and utilize data effectively.
Collaboration & Continuous Improvement
Work closely with cross-functional teams including Data Engineering, IT, Analytics, and Program Operations.
Troubleshoot complex data-related issues and recommend effective solutions.
Stay current with emerging technologies, AI capabilities, data quality methodologies, and analytics tools.
Identify opportunities to improve data management, reporting processes, and analytical capabilities.
Required Qualifications
Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field.
8+ years of experience in Data Analysis, Business Systems Analysis, Data Quality, Data Governance, or Data Management roles.
8+ years of experience gathering business requirements and translating complex data needs into actionable analytical solutions.
8+ years of experience communicating technical findings to non-technical stakeholders and executive leadership.
8+ years of hands-on SQL experience for data extraction, profiling, validation, transformation, and analysis.
Experience creating and validating data profiles to support analytics and business data lineage initiatives.
Strong analytical, problem-solving, presentation, and stakeholder management skills.
Excellent written and verbal communication skills.
Preferred Qualifications
5+ years of experience with Business Intelligence and Data Warehouse environments.
Experience serving as the primary point of contact for business users on data profiling and analytics initiatives.
Experience working within Health & Human Services, Healthcare, Government, or other highly regulated environments.
Strong understanding of data governance, data stewardship, and data quality frameworks.
Experience with data profiling tools such as Snowflake Cortex, Toad, or similar platforms.
Experience promoting data literacy and organizational adoption of data-driven practices.
Experience training and mentoring users with varying levels of technical proficiency.
Experience developing AI prompts and leveraging Generative AI tools for business analytics and reporting.

SQL (Advanced)
Data Profiling & Data Quality Analysis
Data Governance & Data Lineage
Business Intelligence & Reporting
Data Visualization Tools
Data Warehousing Concepts
Snowflake Cortex, Toad, or Similar Tools
Generative AI & Prompt Engineering
Requirements Gathering & Documentation
Stakeholder Management
Training & Knowledge Transfer

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