Vacancies

Business Data Analyst

Employer logo
Business Data Analyst
Jobs via Dice

Country flag
Irving, Texas, United States
Classification symbol Financial Services
H-1B
Job posted on April 15, 2026
APPLY NOW
Job Description:
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Rivago infotech inc, is seeking the following. Apply via Dice today!

H1b workable

Local to Texas only

Position – Business Data Analyst (Business Analyst only with Data domain) with Financial Crimes Domain

Location: Irving Texas – 3 days Hybrid (All client interview will be In-Person)

Role :- Contract

Experience: 7 + yrs

Implementation partner -*******

End Client: Banking (Domain)

A Business Analyst specializing in Data and Financial Crime (AML/Fraud) bridges the gap between technical data teams and compliance officers, utilizing SQL, Python, or tools like Actimize/SAS to analyze, detect, and prevent financial crime. They define requirements for transaction monitoring, optimize detection algorithms, and ensure regulatory compliance.

Key Responsibilities

  • Data Analysis & Mapping: Analyzing customer data, transaction monitoring, and conducting source-to-target mapping for data transformation.
  • System Implementation: Driving the implementation of AML and Fraud solutions, including case management system enhancement (e.g., , , Quantexa).
  • Requirement Documentation: Eliciting and documenting business (BRD), functional (FRD), and data requirements for financial intelligence units.
  • Risk & Regulatory Compliance: Translating regulations (e.g., FATF, AMLDs) into technical requirements and optimizing model-based scenarios to reduce false positives.
  • Data Integrity: Defining data quality controls, completeness, and correctness checks across end-to-end data lineage.

Required Skills & Tools

  • Data Skills: SQL, Python, Tableau, SAS, Informatica, Snowflake.
  • Domain Knowledge: Anti-Money Laundering (AML), KYC, Sanctions, Fraud detection, Transaction Monitoring.
  • Analytical: Data profiling, data mapping, statistical modeling, and anomaly detection.
  • Soft Skills: Stakeholder management, Process modeling, UAT management, Communication.

Typical Qualifications

  • Background in Computer Science, Data Analytics, Statistics, or Engineering.
  • Relevant experience in Banking & Financial Services Industry (BFSI) or Fintech.

Common Job Titles you may come across.

  • Financial Crime Data Analyst/Business Analyst
  • AML Business Analyst
  • Lead - Fraud Analytics
  • Data Business Analyst - Global TM Optimization

APPLY NOW