AVP, Technical Data Analysis

Posted 2 Days Ago
Be an Early Applicant
Warren, NJ, USA
In-Office
175K-210K Annually
Expert/Leader
Insurance
The Role
Lead data analysis efforts across source systems: document assets and processes, perform exploratory analysis and data profiling, define mapping and global transformation rules, validate data quality and integrity, identify issues, support SDLC and developers, provide ad-hoc decision support, and present insights to senior stakeholders to enable data-driven decisions.
Summary Generated by Built In

Title:

AVP, Technical Data Analysis

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 Analysis 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 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.

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 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 Have:
  • 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

The base salary range for this position is $175,000 - $210,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

 

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. 

  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.  

 

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. 

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional Locations:

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at [email protected].

Everest U.S. Privacy Notice | Everest (everestglobal.com)

Skills Required

  • Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, MIS, or 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 and 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)
  • Experience working in cloud-native technologies
  • Strong experience in data modeling, data governance, and MDM
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication, presentation, and storytelling skills to present insights to senior stakeholders
  • Ability to work independently and collaboratively in a fast-paced environment
  • Collaborative mindset and ability to build alignment across teams
  • Experience with Agile methodologies and tools (e.g., Jira, Confluence)
  • Exposure to modern data platforms and cloud-based analytics environments
  • Experience supporting data governance initiatives
  • Experience managing and working closely with development teams
  • Experience performing Product Owner roles

Everest Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everest and has not been reviewed or approved by Everest.

  • Fair & Transparent Compensation Pay is characterized as fair or decent for the role, with total compensation often viewed as broadly competitive. Bonus, overtime eligibility, and stock-related elements are described as meaningful contributors to overall earnings in stronger years.
  • Healthcare Strength Health benefits are repeatedly characterized as good to great, and they appear to be a consistent bright spot in the overall rewards package. Core protections like life insurance and short- and long-term disability coverage are also described as available.
  • Wellbeing & Lifestyle Benefits A Lifestyle Spending Account and a wellness debit-card style perk are described as available for physical or mental health expenses. Employee assistance support is positioned as accessible globally, adding to day-to-day wellbeing coverage.

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The Company
HQ: Allen, TX
3,485 Employees
Year Founded: 1973

What We Do

Everest Group, Ltd. (“Everest”) is a global underwriting leader providing best-in-class property, casualty, and specialty reinsurance and insurance solutions that address customers’ most pressing challenges. Known for a 50-year track record of disciplined underwriting, capital and risk management, Everest, through its global operating affiliates, is committed to underwriting opportunity for colleagues, customers, shareholders, and communities worldwide. Everest is in over 100 countries across 6 continents. We provide the world with protection, we underwrite more than risk, we underwrite opportunity. Everest Group, Ltd. is listed on the New York Stock Exchange (NYSE: EG) and is a component of the S&P 500 index. FINANCIAL STRENGTH RATINGS A+ by A.M. Best A+ by S&P A1 by Moody's

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