Data Analyst With Financial Background (Jersey City)

RevOps Careers; Jersey City (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

RevOps Careers in Jersey City, NJ is seeking a Data Analyst with a strong financial services background for a long-term contract (W2) with hybrid on-site work.

The role requires 10+ years of experience as a Data Analyst or Systems/Integration Analyst, with advanced SQL, data mapping, and multi-source data consolidation.

Preferred: exposure to MDM, data warehousing, and workflow tools; in-person interviews are required.

Qualifications

• 8+ years of experience as a Systems Technical Analyst, Data Analyst, or Integration Analyst in Financial Services or related fields.
• Proficiency in writing complex SQL queries and validating data across large datasets.
• Experience with data mapping and merging multi-source data repositories.

Skills

SQL

Data Analytics

Tools

PL/SQL

Job description

Hi There,

Greetings for the day!

Job Title: Data Analyst With Financial Background

Location: Jersey City, NJ-Hybrid

Duration: Long Term Contract-W2

In Person Interview MUST

Over all Min 10+Years Exp

Required Experience

• 8+ years of experience as a Systems Technical Analyst, Data Analyst, or Integration Analyst—specifically within Financial Services, Investment Management, or Private Banking.
• SQL Proficiency: Hands-on ability to write complex SQL queries, perform data validation across large datasets, and read/interpret PL/SQL code.
• Data Analytics: Proven track record in large-scale data mapping, source system profiling, and merging multi-source data repositories.

Preferred

• MDM & Data Warehousing: Experience with enterprise Master Data Management solutions (e.g., GoldenSource), Databricks, or complex data warehouse consolidation initiatives.
• Financial Accounting Systems: Exposure to wealth management accounting platforms such as SEI / SEI Wealth Platform (SWP).
• Orchestration & Workflow Tools: Working knowledge of Apache Airflow or similar workflow schedulers.
• BPM Tools: Familiarity with business process execution tools and modeling notation.

Tagged as: Data Analysis, SQL