Technical Data Analyst

Position: - Technical Data Analyst

Location: - Warren NJ- 3 days office - Hybrid

Duration: Contract

Rate: DOE

Need exp in insurance prefer re-insurance experience

Strong in SQL

Job Description:

We are seeking a talented and detail-oriented Technical Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results, and providing actionable insights to drive informed decision-making across Everest. You will work closely with IT & business stakeholders to understand their data needs, review existing data assets, and present findings in a clear and concise manner.

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).