Data Analyst

This role is for a Data Analyst (Collateral Analysis) in Jersey City, NJ, on a 5-month contract starting February 2025. Key skills include mortgage and collateral experience, ETL tools, and SQL. Hybrid work schedule: 3 days in-office, 2 remote.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 17, 2025
🕒 - Project duration
3 to 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Jersey City, NJ
🧠 - Skills detailed
#Migration #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Analysis #Data Quality
Role description
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Data Analyst(Collateral Analysis)

Location: Jersey City, NJ

Duration: Contract

Schedule: Monday – Friday 8:30AM - 5:00PM

Hybrid Schedule: (3) Days in Office (Tuesday-Thursday) & (2) Days Remote (Monday & Friday)

Dress: Business Casual

This is a big migration project starting in February 2025. Client is now moving forward and would like to obtain (2) temporary employees for a (5) month project starting in February 2025.

JOB DESCRIPTION:

Collateral Analysis Temp

Job Responsibilities (include but not limited to):
• Assist in the data analysis aspects of the mortgage List Load Process. This includes reviewing member submitted loan level pledge files, analyzing the information through the Bank’s ETL application, generating reports, comparing results, and uploading to Collateral System.
• Create member reporting for accuracy and completeness.
• Perform comparisons of generated ETL reports against the previous month’s member submission and test system.
• Proactively work with other colleagues within Collateral Analysis and the broader Collateral Risk Management team to ensure data quality submitted and respond to data related inquiries.

Requirements

Mortgage, Collateral, Loan(Finance, banking) experience must.

Location: Tri-state area(Must be in NYC area, no relocation)
• Ability to analyze loan level data for residential, multifamily and CRE mortgages.
• Ability to monitor mortgage pledge extract for eligibility and synthesize large amounts of loan level data.
• Ability to refresh member reports, canned and ad-hoc.
• Expert in the use of tools such as MS Excel, MS Access and any ETL tools (Carlisle Group’s Collateral Analysis System “CAS” preferred) used to analyze loan level mortgage data. Knowledge of SQL language a major plus.
• Ability to communicate data changes both verbally and written.
• In addition to the above Analyst must demonstrate Collaborative and Proactive skills.