

TrueSkilla
Data Management Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Management Analyst, lasting 12+ months, based in Charlotte, NC (hybrid). Requires banking experience, advanced SQL, data management, and regulatory reporting skills. A degree in a related field is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 27, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - Skills detailed
#Data Profiling #Data Lineage #Computer Science #Data Analysis #Data Quality #Data Governance #Compliance #Alteryx #Metadata #Datasets #Cloud #Data Management #GCP (Google Cloud Platform) #Ab Initio #BigQuery #AI (Artificial Intelligence) #Data Modeling #Data Integrity #ChatGPT #SQL (Structured Query Language)
Role description
Type: W2 Only
Job Title: Data Management Analyst
Duration: 12+ Month (s)
Location: Charlotte, NC 28202 β Hybrid Role
Top Skills:
β’ Data Analyst background
β’ Data Management, Data Lineage, Data Quality, Data Profiling
β’ Regulatory reporting experience (e.g., FR 2052a, CRA, FR Y-14M, BSA/AML, etc.,)
β’ Exp w/ advanced SQL
β’ Exp w/ Excel
β’ Banking background is required; Commercial Banking domain preferred
Job Description:
β’ In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Data Management.
β’ Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
β’ Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Key Responsibilities:
β’ Ensure data integrity and compliance for regulatory reporting requirements (e.g., FR 2052a, CRA, FR Y-14M, BSA/AML, etc.,).
β’ Analyze large, complex datasets to uncover gaps, inconsistencies, and data quality issues.
β’ Analyze and formalize business requirements into clear, actionable technical deliverables.
β’ Define, document, and maintain data quality rules and associated metadata.
β’ Manage and track data flows while understanding end-to-end data lineage across systems.
β’ Ensure adherence to data governance standards.
β’ Partner with internal stakeholders to investigate and disposition data issues
Required Qualifications:
β’ Bachelorβs or masterβs degree in Computer Science, Data Analytics, Finance, or related field.
β’ Strong background in financial services, particularly within the Commercial Banking domain.
β’ Advanced proficiency in SQL, Excel, and data profiling techniques.
β’ Demonstrated expertise in data quality principles & framework, and regulatory reporting practices.
β’ Experience in data modeling, data lineage analysis, and metadata management.
β’ Familiarity with key regulations such as FR Y-14Q, BSA/AML, and 2052a, including their data implications.
β’ Good written and verbal communication skills.
β’ Strong stakeholder management, analytical thinking, and problem-solving capabilities.
β’ Highly organized, detail-oriented, and able to manage multiple priorities effectively.
β’ Experience facilitating and leading stakeholder working group sessions.
Preferred Qualifications:
β’ Familiarity with data quality tools (e.g., Ab Initio IT express, Alteryx, Qualytics etc.).
β’ Experience with Google Cloud Platform (GCP), especially BigQuery.
β’ Knowledge/experience in AI Platforms such as Tachyon, Microsoft Copilot, ChatGPT, etc.
Type: W2 Only
Job Title: Data Management Analyst
Duration: 12+ Month (s)
Location: Charlotte, NC 28202 β Hybrid Role
Top Skills:
β’ Data Analyst background
β’ Data Management, Data Lineage, Data Quality, Data Profiling
β’ Regulatory reporting experience (e.g., FR 2052a, CRA, FR Y-14M, BSA/AML, etc.,)
β’ Exp w/ advanced SQL
β’ Exp w/ Excel
β’ Banking background is required; Commercial Banking domain preferred
Job Description:
β’ In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Data Management.
β’ Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
β’ Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Key Responsibilities:
β’ Ensure data integrity and compliance for regulatory reporting requirements (e.g., FR 2052a, CRA, FR Y-14M, BSA/AML, etc.,).
β’ Analyze large, complex datasets to uncover gaps, inconsistencies, and data quality issues.
β’ Analyze and formalize business requirements into clear, actionable technical deliverables.
β’ Define, document, and maintain data quality rules and associated metadata.
β’ Manage and track data flows while understanding end-to-end data lineage across systems.
β’ Ensure adherence to data governance standards.
β’ Partner with internal stakeholders to investigate and disposition data issues
Required Qualifications:
β’ Bachelorβs or masterβs degree in Computer Science, Data Analytics, Finance, or related field.
β’ Strong background in financial services, particularly within the Commercial Banking domain.
β’ Advanced proficiency in SQL, Excel, and data profiling techniques.
β’ Demonstrated expertise in data quality principles & framework, and regulatory reporting practices.
β’ Experience in data modeling, data lineage analysis, and metadata management.
β’ Familiarity with key regulations such as FR Y-14Q, BSA/AML, and 2052a, including their data implications.
β’ Good written and verbal communication skills.
β’ Strong stakeholder management, analytical thinking, and problem-solving capabilities.
β’ Highly organized, detail-oriented, and able to manage multiple priorities effectively.
β’ Experience facilitating and leading stakeholder working group sessions.
Preferred Qualifications:
β’ Familiarity with data quality tools (e.g., Ab Initio IT express, Alteryx, Qualytics etc.).
β’ Experience with Google Cloud Platform (GCP), especially BigQuery.
β’ Knowledge/experience in AI Platforms such as Tachyon, Microsoft Copilot, ChatGPT, etc.






