Title:
AVP, Technical Data Analyst
Company:
Everest Insurance Company
Job Category:
Technology
Job Description:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the role:
We are seeking a highly skilled and detail-oriented AVP, Technical Data Analyst to join our dynamic IT Global Services Team at Everest, located at their US headquarters in Warren, New Jersey, USA.
Job Description:
We are seeking a talented and detail-oriented AVP, Technical Data Analyst to join our dynamic team. As an AVP, 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. You will also be a strong collaborator who thrives at the intersection of business/data and technical delivery.
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.
Provide product ownership and technical support to developers
Support multiple project(s) from a SDLC perspective
Qualifications:
Bachelor’s degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field
10-15 years of experience as a Data Analyst or similar role in the P&C insurance industry
Solid knowledge of the P&C insurance do