GTECH LLC
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Financial Services, offering a 6-month contract to hire at a pay rate of "unknown" in a hybrid setting in Jersey City, NJ. Requires 5-6 years of experience, MDM expertise, advanced SQL, and data integration skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 7, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Documentation #SQL (Structured Query Language) #Data Analysis #Security #Data Integration #Data Profiling #Data Management #MDM (Master Data Management) #Databricks #Spark (Apache Spark) #Cloud #"ETL (Extract #Transform #Load)"
Role description
Data Analyst (Financial Services)
6 Month Contract to hire
Video + Possible onsite interview
Hybrid Role - Jersey City, NJ
We're looking for an experienced Technical Data Analyst with 5–6 years of experience in the Financial Services domain.
Key Requirements:
• Strong experience in Master Data Management (MDM) & GoldenSource
• Advanced SQL and hands-on data analysis
• Data profiling, mapping, transformation & reconciliation
• Experience with Security Master, Account, Client & Benchmark data
• Knowledge of data warehousing, cloud platforms (Databricks/Spark), and enterprise data integration
• Excellent communication, documentation, and stakeholder collaboration skills
• Self-driven and technically hands-on
Data Analyst (Financial Services)
6 Month Contract to hire
Video + Possible onsite interview
Hybrid Role - Jersey City, NJ
We're looking for an experienced Technical Data Analyst with 5–6 years of experience in the Financial Services domain.
Key Requirements:
• Strong experience in Master Data Management (MDM) & GoldenSource
• Advanced SQL and hands-on data analysis
• Data profiling, mapping, transformation & reconciliation
• Experience with Security Master, Account, Client & Benchmark data
• Knowledge of data warehousing, cloud platforms (Databricks/Spark), and enterprise data integration
• Excellent communication, documentation, and stakeholder collaboration skills
• Self-driven and technically hands-on
