Data Management Business Data Analyst | Newark, New Jersey | Hybrid Onsite: 2 days a week | Only W2

  • Newark, NJ
  • Posted 1 hour ago | Updated 1 hour ago

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - Independent

Skills

Asset Management
Investment Management
Fixed income
Data Management
Business Data Analyst
ETL
data movement
data feeds

Job Details

Position: Data Management Business Data Analyst

Location: Newark, New Jersey

Hybrid Onsite: 2 days a week

Duration: 12 Month Contract

2nd Round Interview will be Onsite- face to face

Must Haves:

  • 7-12 years of experience as a Business Systems Analyst at an Asset Management/Investment Management firm.
  • Must possess strong Financial Services domain experience.
  • Must have Fixed income products knowledge.
  • Must be very strong with SQL & Excel.
  • Aladdin platform experience is required.
  • Must understand API's, ETL products, data movement, data management and data feeds.
  • Must have a strong understanding of data integration and data analysis.
  • Python programming skills are a nice to have

Responsibilities:

  • Work with internal/external stakeholders to analyze, and define business and functional requirements to build fixed income data products (example: derivatives)
  • Communicate effectively to conduct walkthroughs with development team, QA and stakeholders and write requirements
  • Will be taking full responsibility and ownership of product features to ensure development team and QA has understanding of business deliverables and acceptance criteria and review test cases/scenarios and perform UAT as needed
  • Will need strong SQL skills to conduct Data analysis, including diving into code (Stored Proscs, Java) to understand and extrapolate business logic and document data flows based on data analysis
  • Solid Python skills
  • Will assist PO by providing input into backlog refinement and sprint planning and helping to refine and validate user stories with clear acceptance criteria
  • Will be proactive in raising obstacles and calling out issues that may impact sprint delivery
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