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Oracle Database Application Analyst

Job in New York, New York County, New York, 10261, USA
Listing for: Data Freelance Hub
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Database Administrator, Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for an Oracle Database Application Analyst with 2+ years of experience, focusing on financial systems in life insurance. Key skills include Oracle (11g/19c), SQL, PL/SQL, Linux, and advanced Excel. Contract length and pay rate are unspecified.

United States

New York, United States

Key Responsibilities
  • Maintain and enhance internal financial reporting database applications
  • Support implementation and enhancements for new and existing life insurance products
  • Automate reporting requirements and improve operational efficiency
  • Ensure successful monthly data warehouse loads and data integrity
  • Develop control processes and produce automated and ad hoc reporting
  • Translate complex business and actuarial requirements into technical specifications
  • Provide L2 and L3 production support for Oracle-based financial database applications
  • Collaborate cross-functionally with stakeholders across business, finance, and technology
Qualifications
  • Bachelor’s degree with 2+ years in database application development or database administration
  • Strong Oracle experience (11g/19c), including SQL, PL/SQL, SQLPlus, and SQLLoader
  • Linux experience, including shell scripting
  • Hands‑on experience with TOAD
  • Advanced Excel skills (VLOOKUP, macros, data analysis)
  • Familiarity with scheduling tools (ESP, Stonebranch UAC) preferred
  • Exposure to MS Access and/or Python preferred
  • Understanding of life insurance products or actuarial data environments is a plus
Core Skills
  • Ability to manage multiple priorities in fast‑paced environments
  • Strong analytical, problem‑solving, and organizational skills
  • Excellent written and verbal communication
  • Detail‑oriented mindset with a focus on data validation and accuracy
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