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Business Analyst

E-Solutions

 

Iselin, Woodbridge Township, NJ, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Business Analyst
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities:

  • Collaborate with business users and technology teams to gather and document requirements for data warehousing solutions.
  • Analyze and map data from source systems (trading, finance, risk) into the enterprise data warehouse.
  • Define data models, transformation rules, and business logic for derivatives, loans, cash, and commitment products.
  • Support the design and implementation of regulatory reporting data pipelines (e.g., Dodd-Frank, EMIR, Basel III).
  • Conduct data profiling, gap analysis, and validation to ensure data quality and completeness.
  • Create detailed functional specifications, data dictionaries, and lineage documentation.
  • Work with QA and UAT teams to define test cases and validate data warehouse outputs.
  • Act as a liaison between business, compliance, and IT to ensure alignment on data requirements and delivery timelines.
  • Support ongoing enhancements and change requests related to regulatory and business reporting.

 

Required Skills & Qualifications:

  • Bachelor’s degree in Finance, Information Systems, or a related field.
  • 5+ years of experience as a Business Analyst in Investment Banking or Capital Markets.
  • Strong understanding of financial products, especially derivatives, loans, and cash instruments.
  • Proven experience in data warehousing projects, including data modeling and ETL processes.
  • Familiarity with regulatory reporting frameworks (e.g., EMIR, Dodd-Frank, Basel III, SFTR).
  • Proficiency in SQL and data analysis tools.
  • Experience working with enterprise data platforms (e.g., Snowflake, databricks, Teradata).
  • Excellent communication, documentation, and stakeholder management skills.


 

Preferred Qualifications:

  • Experience with Agile/Scrum methodologies.
  • Knowledge of data governance, metadata management, and data lineage tools.
  • Exposure to cloud-based data platforms (e.g., AWS, Azure)

Education

Bachelor's degree

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