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Technical Data Analyst

Job

Torque Technologies LLC

Remote

Full-Time

Posted 3 days ago (Updated 3 hours ago) • Actively hiring

Expires 6/8/2026

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Job Description

Technical Data Analyst Warren, NJ (Hybrid)
Long Term Exp:
10+
Qualifications:
  • Bachelor s degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field.
  • 5-7 years of experience as a Data Analyst or similar role in the P&C insurance industry.
  • Solid knowledge of the P&C insurance domain particularly policy & claims management systems.
  • Proven experience in data analysis, business intelligence, or related roles.
  • Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and presentation abilities.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication and storytelling skills to present insights to senior stakeholders.
  • A collaborative mindset and the ability to build alignment across teams.
  • Experience with Agile methodologies and tools (e.
g., Jira, Confluence).
Key Responsibilities:
  • Review & document current data assets across source systems.
  • Document the current process and limitations of the current process.
  • Perform exploratory data analysis to uncover trends, patterns, and anomalies.
  • Generate the artifacts to showcase mapping and global transformation rules that needs to be applied to the data.
  • Work closely with data architects and business analysts to understand the global data reporting requirements and standards.
  • Validate data accuracy, completeness and integrity of the data in the source systems
  • Identify and document data quality issues and discrepancies.
  • Provide decision-support through ad-hoc analysis, data profiling etc.
Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

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