Data Analyst, Analytics & AI Insights

Sorry, this job was removed at 10:35 p.m. (UTC) on Thursday, Jul 30, 2026
Warren, NJ, USA
In-Office
77K-105K Annually
Junior
Insurance
The Role
Partner with business and IT to extract, clean, analyze data, build dashboards, and deliver AI-enabled insights. Maintain enterprise reporting, validate data quality, support recurring and ad hoc requests, document metrics, and translate findings into business-friendly visualizations to improve underwriting and performance decisions.
Summary Generated by Built In

Title:

Data Analyst, Analytics & AI Insights

Company:

Everest Global Services, Inc.

Job Category:

Analytics

Job Description:

About Everest

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.

Everest Insurance, a member of Everest Re Group Ltd., is seeking a Data Analyst with 1–3 years of relevant experience, preferably within the P&C insurance industry. This role is ideal for someone with strong data mining and analytical skills, who is eager to contribute in a fast-paced, collaborative environment.

This hybrid role requires 3 days onsite in Warren, NJ.

The Data Analyst will partner with business stakeholders and IT teams to support reporting, analytics, and AI-driven insights. The role focuses on analyzing data, building dashboards, and leveraging modern tools (including Gen-AI & Co-Pilot) to enhance decision-making and operational efficiency.

Responsibilities:

  • Develop and maintain enterprise level reporting and analytical applications using emerging technology, and able to handle high volume data and complex calculations.

  • Extract, clean, and transform data from multiple sources using SQL, Excel, or other tools

  • Leverage AI-enabled tools (e.g., Power BI Copilot, Python-based libraries, or LLM tools) to enhance data analysis, automate insights, and improve reporting efficiency

  • Perform data analysis to identify trends, patterns, and insights across underwriting and business performance metrics

  • Ensure data quality and accuracy through validation and reconciliation of datasets

  • Support recurring reporting and ad hoc analytical requests from business stakeholders

  • Assist in the development of data models and reporting structures

  • Collaborate with IT and data teams to understand data sources and improve reporting solutions

  • Document data definitions, report logic, and key metrics to support consistency and transparency

  • Translate analytical findings into clear visualizations and business-friendly insights

Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, MIS, or a related field

  • 1–3 years of experience in data analytics, reporting, or a related role (insurance experience preferred but not required)

  • Ability to learn new tools and technologies quickly

  • Working knowledge of SQL and/or Excel for data analysis and reporting

  • Familiarity with data structures and basic data modeling concepts

  • Basic understanding of scripting tools (e.g., Python or R) is required

  • Exposure to applying Gen-AI and LLM concepts to business analytics is a plus

  • Ability to interpret data and communicate insights clearly

  • Strong attention to detail and data accuracy

  • Good communication and collaboration skills

Preferred Skills & Attributes

  • Curiosity and interest in applying AI/automation to solve business problems

  • Strong organizational skills and ability to manage multiple priorities

  • Collaborative mindset with the ability to work across business and IT teams

  • Comfort working in a fast-paced, agile environment

The base salary range for this position is $77,000 - $105,000 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).

#LI-Hybrid

#LI-AS1

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 Statistics, Mathematics, Computer Science, MIS, or related field
  • 1-3 years of experience in data analytics, reporting, or a related role
  • Working knowledge of SQL and/or Excel for data analysis and reporting
  • Basic understanding of scripting tools (e.g., Python or R)
  • Familiarity with data structures and basic data modeling concepts
  • Ability to learn new tools and technologies quickly
  • Ability to interpret data and communicate insights clearly
  • Strong attention to detail and data accuracy
  • Good communication and collaboration skills
  • Experience with AI-enabled tools or exposure to Gen-AI/LLM concepts applied to analytics
  • Experience within P&C insurance industry
  • Comfort working in a fast-paced, agile environment and ability to manage multiple priorities

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.

Everest Insights

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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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