Senior Data Analyst AML

Data Freelance Hub; Remote; USD 80,000 - 100,000; Full time

Job summary

A data analysis consultancy is seeking a Senior Data Analyst - AML for a 3-month remote contract in the United States. Candidates should have 5-7 years of data analytics experience, strong SQL skills, and SAS knowledge. The role involves validating AML rules, investigating discrepancies, and communicating findings clearly. This position does not provide sponsorship, and applicants must reside in the USA.

Qualifications

• 5–7 years of experience in Data Analytics or Business Reporting.
• Strong SQL skills including joins, aggregations, and CTEs.
• Experience with SAS (Base, DATA step, PROC SQL) or adaptability to SAS.

Responsibilities

• Execute and validate AML rules in SAS Viya.
• Compare outputs against legacy systems.
• Investigate discrepancies down to record-level detail.
• Determine resolution or documentation needs for differences.
• Produce clear documentation on variances and logic changes.
• Communicate findings to stakeholders in business-friendly language.

Skills

Data Analytics

SQL

SAS

Communication skills

Job description

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is a Senior Data Analyst - AML for a 3-month remote contract, paying competitive rates. Requires 5–7 years in Data Analytics, strong SQL, SAS experience, and AML domain knowledge preferred. No sponsorship available; must reside in the USA.

Location: Remote (USA). Contract length: 3 months. Employment: 1099 Contractor. Start: ASAP.

Responsibilities

• Executing and validating AML rules in SAS Viya
• Comparing outputs against legacy systems
• Investigating discrepancies down to record-level detail
• Determining whether differences can be resolved or must be documented
• Producing clear documentation explaining variances and logic changes
• Communicating findings to stakeholders in clear, business-friendly language

Mandatory Skills

• 5–7 years of experience in Data Analytics or Business Reporting
• Strong SQL (joins, aggregations, CTEs)
• SAS experience (Base, DATA step, PROC SQL) or strong SQL with ability to adapt to SAS
• Proven experience interpreting results and explaining “why” differences exist

Nice-to-Have Skills

• AML domain experience
• Financial services background
• Payments data experience (Wires, SWIFT, Payments data more broadly)
• Prior experience with system or rule migrations
• Familiarity with SAS Viya

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