
Technical Data Analyst
Role summary
A Technical Data Analyst is needed in Warren, NJ, for a hybrid role requiring 3 days in the office. The position focuses on the insurance industry, with a preference for reinsurance experience. Key responsibilities include documenting data assets and processes, performing exploratory data analysis to identify trends and anomalies, generating data mapping and transformation rules, and validating data accuracy and integrity. The role also involves identifying and documenting data quality issues and providing decision support through ad-hoc analysis. A Bachelor's degree in a related field and 5-7 years of experience in the P&C insurance industry are required, along with strong SQL proficiency and knowledge of policy and claims management systems.
Title:- Technical Data Analyst
Location:- Warren, NJ- 3 days office
NOTE:-
- Need exp in insurance, prefer re-insurance experience
- Strong in SQL
Job Description
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.
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).
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