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Data Analyst / Data Mapping Analyst (AML & Fraud Platforms)
Location: USA- Charlotte, NC- Onsite
Employment Type: Full-Time
15 Years need
Job Description:
We are seeking an experienced Data Analyst / Data Mapping Analyst to support data-impacting initiatives across AML (Anti-Money Laundering) and Fraud platforms. The ideal candidate will have strong SQL, Data Mapping, ETL, and Data Warehousing experience, along with the ability to analyze data requirements, assess platform impacts, and collaborate with business and technical stakeholders.
Key Responsibilities:
Analyze data-impacting changes across AML and Fraud platforms.
Create and maintain Source-to-Target Mapping (STM) documents.
Gather and document business and data requirements.
Write complex SQL queries, stored procedures, and PL/SQL code.
Support ETL development, enhancements, and data onboarding activities.
Assess downstream impacts of new data sources and business changes.
Work closely with Compliance, Business, Data Engineering, and Architecture teams.
Create detailed JIRA stories and functional documentation.
Support UAT and provide clarification on data mapping and transformation logic.
Identify and resolve data quality issues.
Participate in Agile/Scrum ceremonies and collaborate across multiple teams.
Support AI-assisted tools for data validation, anomaly detection, and development productivity.
Required Skills:
Strong SQL and PL/SQL experience.
Hands-on ETL development experience.
Source-to-Target Data Mapping.
Data Warehousing concepts.
Dimensional Modeling.
Star Schema and Snowflake Schema.
Slowly Changing Dimensions (SCD).
Query Performance Tuning.
Explain Plans and Indexing Strategies.
Data Analysis and Requirement Gathering.
JIRA and Agile/Scrum methodologies.
Excellent communication and stakeholder management skills.
Preferred Skills:
AML (Anti-Money Laundering) experience.
Fraud Detection or Fraud Platform experience.
Banking or Financial Services domain experience.
Knowledge of AI-assisted development tools.
Data Visualization tools experience.
Data Analyst / Data Mapping Analyst (AML & Fraud Platforms)
Location: USA- Charlotte, NC- Onsite
Employment Type: Full-Time
15 Years need
Job Description:
We are seeking an experienced Data Analyst / Data Mapping Analyst to support data-impacting initiatives across AML (Anti-Money Laundering) and Fraud platforms. The ideal candidate will have strong SQL, Data Mapping, ETL, and Data Warehousing experience, along with the ability to analyze data requirements, assess platform impacts, and collaborate with business and technical stakeholders.
Key Responsibilities:
Analyze data-impacting changes across AML and Fraud platforms.
Create and maintain Source-to-Target Mapping (STM) documents.
Gather and document business and data requirements.
Write complex SQL queries, stored procedures, and PL/SQL code.
Support ETL development, enhancements, and data onboarding activities.
Assess downstream impacts of new data sources and business changes.
Work closely with Compliance, Business, Data Engineering, and Architecture teams.
Create detailed JIRA stories and functional documentation.
Support UAT and provide clarification on data mapping and transformation logic.
Identify and resolve data quality issues.
Participate in Agile/Scrum ceremonies and collaborate across multiple teams.
Support AI-assisted tools for data validation, anomaly detection, and development productivity.
Required Skills:
Strong SQL and PL/SQL experience.
Hands-on ETL development experience.
Source-to-Target Data Mapping.
Data Warehousing concepts.
Dimensional Modeling.
Star Schema and Snowflake Schema.
Slowly Changing Dimensions (SCD).
Query Performance Tuning.
Explain Plans and Indexing Strategies.
Data Analysis and Requirement Gathering.
JIRA and Agile/Scrum methodologies.
Excellent communication and stakeholder management skills.
Preferred Skills:
AML (Anti-Money Laundering) experience.
Fraud Detection or Fraud Platform experience.
Banking or Financial Services domain experience.
Knowledge of AI-assisted development tools.
Data Visualization tools experience.