Mid Level Associate Quality Analyst Jobs
Mid level associate quality analyst jobs go to professionals ready to own test plans end to end, guide junior teammates, and make quality decisions without constant oversight. Openings run across Technology & Software, Healthcare & Medical Services, and Insurance, with a mix of on-site, remote, and hybrid settings, and employers like Infojini, Curia, and Optum hiring at this level now.
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Showing 5 of 17+ Mid Level Associate Quality Analyst jobs
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
KEY RESPONSIBILITIES
- Developing and maintaining complex SQL queries to support MDM solutions.
- Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
- Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
- Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
- Participating in unit, integration, and system testing.
- Performing data profiling and quality review and analysis.
- Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews.
- Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
- Participating in project discussions to document and recommend alternative technical solutions or requirements.
- Perform data quality assessments and document findings, recommendations, and remediation opportunities.
- Analyze data anomalies, matching issues, and client/member record quality concerns.
- Support data governance and data stewardship activities.
- Assist users during User Acceptance Testing (UAT) and production validation.
REQUIRED QUALIFICATIONS
- 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
- Experience working with MDM platforms such as Informatica MDM.
- Experience gathering and documenting business and technical requirements.
- Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
- Experience supporting QA, UAT, or system testing activities.
- SQL experience, with large MDM and large relational DBMS.
- Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
- Strong analytical, problem-solving, and data validation skills.
- Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience working in other MDM tools including Cloud-native MDM solutions.
- Experience working in State Government, public sector, or regulated environments.
- Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
- Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
- Exposure to Python scripting for automation, testing, data validation, or profiling activities.
- Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
- Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
- Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
- Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
- Ability to operate in a telecommute environment and matrix organization with minimal direction.
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
KEY RESPONSIBILITIES
- Developing and maintaining complex SQL queries to support MDM solutions.
- Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
- Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
- Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
- Participating in unit, integration, and system testing.
- Performing data profiling and quality review and analysis.
- Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews.
- Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
- Participating in project discussions to document and recommend alternative technical solutions or requirements.
- Perform data quality assessments and document findings, recommendations, and remediation opportunities.
- Analyze data anomalies, matching issues, and client/member record quality concerns.
- Support data governance and data stewardship activities.
- Assist users during User Acceptance Testing (UAT) and production validation.
REQUIRED QUALIFICATIONS
- 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
- Experience working with MDM platforms such as Informatica MDM.
- Experience gathering and documenting business and technical requirements.
- Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
- Experience supporting QA, UAT, or system testing activities.
- SQL experience, with large MDM and large relational DBMS.
- Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
- Strong analytical, problem-solving, and data validation skills.
- Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience working in other MDM tools including Cloud-native MDM solutions.
- Experience working in State Government, public sector, or regulated environments.
- Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
- Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
- Exposure to Python scripting for automation, testing, data validation, or profiling activities.
- Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
- Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
- Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
- Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
- Ability to operate in a telecommute environment and matrix organization with minimal direction.
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Mid Level Associate Quality Analyst Jobs: Frequently Asked Questions
How do I get a mid level associate quality analyst job?
Position your experience around ownership, not just participation. Highlight test plans you built from scratch, defects you caught before release, and cross-functional work where you drove the QA process rather than followed someone else's. Tailor your resume to show measurable impact, such as reduced defect escape rates or faster release cycles, and demonstrate familiarity with the tools and frameworks the target company uses.
Which companies hire mid level associate quality analysts?
Companies hiring mid level associate quality analysts right now include Infojini, Curia, and Optum, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from organizations scaling their QA functions, including mid-size technology firms, healthcare platforms, financial services companies, and large enterprise employers building out structured quality teams.
Are there remote mid level associate quality analyst jobs?
Yes, though availability varies by employer and industry. About 58% of mid level associate quality analyst openings are remote or hybrid as of November 2026, reflecting strong demand for experienced QA professionals who can operate independently without on-site supervision. Hybrid arrangements are common at larger companies that prefer some in-person collaboration for release cycles and team standups.
How do I move up to a mid level associate quality analyst role?
The path from entry level to mid level is built on demonstrated ownership. Early-career analysts who take on full test cycles, document their own test cases, and start identifying process gaps rather than just executing assigned tests tend to move up faster. Building depth in a core tool set, contributing to QA documentation, and showing measurable improvement in release quality creates the profile that earns a mid level title.
Which industries hire the most mid level associate quality analysts?
Mid Level associate quality analyst roles concentrate in Technology & Software, Healthcare & Medical Services, and Insurance, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they ship software or regulated products at high volume and need experienced analysts who can own quality processes across multiple releases without close supervision.