

TalentBridge
AML/KYC Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AML/KYC Data Analyst with a contract length of 6-12 months, offering a pay rate of "pay rate". It requires strong data analysis skills, advanced Excel proficiency, AML/KYC process understanding, and stakeholder collaboration in a hybrid work environment.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Data Analysis #Data Cleansing #Datasets #Compliance #"ETL (Extract #Transform #Load)" #Pivot Tables #Documentation #Data Integrity #Automation
Role description
Title - AML/KYC Data Analyst
Hybrid - 3 days in office 2 days remote
Shift: Monday through Friday 8am - 5pm (Flexible)
Duration: 6-12 (End of year end date)
Possibility for extension
Interview Process: One round of interviews - 30 minutes virtual
Job Description:
• Strong data analysis skills
Ability to extract, validate, and interpret data to produce accurate metrics (volumes, timeliness, backlogs, exceptions, trends).
• Advanced Excel / data tooling proficiency
Experience with pivot tables, formulas (e.g., lookups, conditional logic), data cleansing, and basic automation; comfort working with large datasets from multiple sources.
• Understanding of due diligence and AML/KYC processes
Familiarity with customer due diligence, enhanced due diligence, risk ratings, reviews, and regulatory timelines to ensure metrics align with operational reality.
• Attention to detail and data integrity
Strong quality control mindset to ensure metrics are complete, accurate, and defensible for audits, exams, and senior management reporting.
• Process mapping and workflow awareness
Ability to understand end to end due diligence workflows and identify where metrics should be captured, interpreted, and explained.
• Reporting and communication skills
Ability to translate raw data into clear, concise summaries, dashboards, and narratives tailored to stakeholders (management, compliance, audit).
• Time management and deadline discipline
Proven ability to manage recurring reporting cycles, ad hoc data requests, and regulatory driven deadlines simultaneously.
• Problem solving and investigative mindset
Skill in identifying data anomalies, root causes of metric fluctuations, and gaps in reporting logic or source systems.
• Stakeholder collaboration
Experience working with due diligence teams, compliance partners, technology, and risk management to clarify requirements and validate metrics.
• Documentation and governance awareness
Ability to document metric definitions, methodologies, assumptions, and exceptions to support procedural alignment and regulatory expectations.
Title - AML/KYC Data Analyst
Hybrid - 3 days in office 2 days remote
Shift: Monday through Friday 8am - 5pm (Flexible)
Duration: 6-12 (End of year end date)
Possibility for extension
Interview Process: One round of interviews - 30 minutes virtual
Job Description:
• Strong data analysis skills
Ability to extract, validate, and interpret data to produce accurate metrics (volumes, timeliness, backlogs, exceptions, trends).
• Advanced Excel / data tooling proficiency
Experience with pivot tables, formulas (e.g., lookups, conditional logic), data cleansing, and basic automation; comfort working with large datasets from multiple sources.
• Understanding of due diligence and AML/KYC processes
Familiarity with customer due diligence, enhanced due diligence, risk ratings, reviews, and regulatory timelines to ensure metrics align with operational reality.
• Attention to detail and data integrity
Strong quality control mindset to ensure metrics are complete, accurate, and defensible for audits, exams, and senior management reporting.
• Process mapping and workflow awareness
Ability to understand end to end due diligence workflows and identify where metrics should be captured, interpreted, and explained.
• Reporting and communication skills
Ability to translate raw data into clear, concise summaries, dashboards, and narratives tailored to stakeholders (management, compliance, audit).
• Time management and deadline discipline
Proven ability to manage recurring reporting cycles, ad hoc data requests, and regulatory driven deadlines simultaneously.
• Problem solving and investigative mindset
Skill in identifying data anomalies, root causes of metric fluctuations, and gaps in reporting logic or source systems.
• Stakeholder collaboration
Experience working with due diligence teams, compliance partners, technology, and risk management to clarify requirements and validate metrics.
• Documentation and governance awareness
Ability to document metric definitions, methodologies, assumptions, and exceptions to support procedural alignment and regulatory expectations.






