AVP, Technical Data Analysis

Everest•Warren Township, NJ

1d•$175,000 - $210,000•Onsite

About The Position

We are seeking a talented and detail-oriented AVP, Technical Data Analysis to join our dynamic team. As an AVP, Data Analysis, 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.

Requirements

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 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.).
Experience working in Cloud native technologies
Strong experience in Data Modeling, Data Governance & MDM
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).

Nice To Haves

Exposure to modern data platforms and cloud-based analytics environments
Experience supporting data governance initiatives
Experience managing and working closely with development team(s)
Experience performing Product owner roles is a plus

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