Senior Data Analyst

Location:

Austin, Texas HYBRID (4-days onsite - ONLY local candidates)

The Senior Data Analyst will support data migration, modernization, integration, synchronization, and data quality initiatives for complex public-sector systems. This role will analyze and profile legacy data, develop source-to-target mappings and transformation rules, support ETL and conversion activities, and validate and reconcile data as it moves from legacy to modern platforms. The analyst will also help maintain data continuity while legacy and new systems operate in parallel.

• Profile and analyze legacy data to identify gaps, duplicates, invalid values, and data-quality issues.
• Develop and maintain source-to-target mappings, transformation rules, data dictionaries, and code-value crosswalks.
• Build, execute, test, and tune ETL processes supporting mock conversions, testing, and production cutover.
• Support data synchronization between legacy and modern systems through interfaces, APIs, change data capture, or scheduled data exchanges.
• Perform data matching, merging, deduplication, and identity resolution while preserving relationships and historical data.
• Develop reconciliation and validation processes using record counts, control totals, field-level comparisons, and sampled record testing.
• Investigate and resolve data migration, conversion, integration, and quality issues; support UAT, testing, and cutover activities.
• Work with business, program, technical, vendor, and project teams to clarify data requirements and communicate issues and findings.
• Document data lineage, mappings, technical processes, validation procedures, and run books.
• Support applicable federal and program reporting requirements, including AFCARS, NCANDS, NYTD, and CCWIS data-quality requirements.

• 8+ years of experience in data analysis, data profiling, data quality, mapping, validation, reconciliation, or related data-focused technology work.
• 5+ years working with business, technical, vendor, and project teams on complex data initiatives.
• 5+ years supporting data migration, integration, synchronization, conversion, or related implementation activities.
• 3+ years supporting public-sector or government organizations.
• Hands-on experience with CCWIS, SACWIS, CWIS, or a comparable state health and human services system such as Medicaid, SNAP, TANF, DHS, or integrated eligibility.
• Advanced SQL experience with Oracle, SQL Server, or similar relational databases.
• Hands-on experience with an ETL/integration tool, such as Informatica, SSIS, Azure Data Factory, Talend, Mule Soft, or similar.
• Experience developing data mappings, transformation rules, data dictionaries, and reconciliation/validation scripts.
• Experience supporting data synchronization or a data bridge between legacy and modern systems operating in parallel.
• Bachelor's degree or equivalent work-related experience.

• Experience with child welfare programs, systems, and data migration.
• Knowledge of AFCARS, NCANDS, NYTD, or other child welfare reporting requirements.
• Experience with Oracle Golden Gate, Qlik Replicate, Debezium, or other change-data-capture technologies.
• Experience integrating with Salesforce, Microsoft Dynamics, or other SaaS/low-code platforms.
• Python or Power Shell experience for data validation and automation.
• Experience with Azure, AWS, master data management, identity resolution, or deduplication.