Acumenz Consulting
AML Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AML Data Analyst with a contract length of "unknown" and a pay rate of "unknown," located onsite/hybrid in New York, NY. Key skills required include SQL, Excel, BI tools (Power BI, Tableau), and AML domain knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#SQL (Structured Query Language) #Stories #Monitoring #Tableau #Datasets #Compliance #Documentation #Data Profiling #UAT (User Acceptance Testing) #BI (Business Intelligence) #Microsoft Power BI #Data Analysis
Role description
Data Analyst – Financial Crime /AML
Location—onsite/hybrid at New York, NY
Role Purpose: Serve as the link between business stakeholders and technology teams, ensuring AML/compliance requirements are translated into actionable data insights and system specifications.
• Technical proficiency: SQL, Excel, BI tools (Power BI, Tableau).
• AML domain knowledge: Familiarity with transaction monitoring, name screening, and regulatory frameworks.
• Analytical skills: Strong problem‑solving, data profiling, and interpretation abilities.
• Documentation skills: Ability to produce clear, audit‑ready artifacts.
• Soft skills: Communication, stakeholder management, and presentation.
Key Responsibilities
• Requirement gathering: Capture functional and compliance needs from stakeholders, documenting them in BRDs and user stories.
• Data analysis: Profile, validate, and interpret AML datasets to support scenario design and reporting.
• Documentation: Prepare process flows, functional specifications, and mapping documents.
• Testing support: Assist in SIT/UAT cycles, validate outputs against business and regulatory expectations.
• Stakeholder communication: Present findings, insights, and recommendations in executive‑ready formats.
• Cross‑functional alignment: Collaborate with compliance, risk, and technology teams to ensure consistency and traceability.
Data Analyst – Financial Crime /AML
Location—onsite/hybrid at New York, NY
Role Purpose: Serve as the link between business stakeholders and technology teams, ensuring AML/compliance requirements are translated into actionable data insights and system specifications.
• Technical proficiency: SQL, Excel, BI tools (Power BI, Tableau).
• AML domain knowledge: Familiarity with transaction monitoring, name screening, and regulatory frameworks.
• Analytical skills: Strong problem‑solving, data profiling, and interpretation abilities.
• Documentation skills: Ability to produce clear, audit‑ready artifacts.
• Soft skills: Communication, stakeholder management, and presentation.
Key Responsibilities
• Requirement gathering: Capture functional and compliance needs from stakeholders, documenting them in BRDs and user stories.
• Data analysis: Profile, validate, and interpret AML datasets to support scenario design and reporting.
• Documentation: Prepare process flows, functional specifications, and mapping documents.
• Testing support: Assist in SIT/UAT cycles, validate outputs against business and regulatory expectations.
• Stakeholder communication: Present findings, insights, and recommendations in executive‑ready formats.
• Cross‑functional alignment: Collaborate with compliance, risk, and technology teams to ensure consistency and traceability.
