Hiring.Camp

People Analytics, Senior Analyst

Everestre

·

Sep 4, 2026

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Salary
$75k – $105k
Location
Warren, NJ, United States of America
Workplace
Hybrid
Department
Human Resources
Seniority
Senior
Experience
3+ years
Education
Master
Source
Workday

Description

Title:

People Analytics, Senior Analyst

Company:

Everest Global Services, Inc.

Job Category:

Human Resources

Job Description:

Everest is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in Europe, Bermuda, Canada, Singapore, the United States, Latin America, and other territories. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Throughout our history, Everest has maintained its discipline and focus on creating long-term value through underwriting excellence and strong risk and capital management. Our greatest asset, however, is our people.

Everest Group, Ltd. is seeking a People Analytics Analyst to join the Human Resources team. This role is based in Warren, NJ and follows a hybrid work schedule.

The People Analytics Analyst plays a key role in advancing Everest's people analytics strategy by transforming workforce data into actionable insights that drive business and talent decisions. This position partners closely with HR leaders, Finance, Talent Acquisition, Compensation, and Business stakeholders to deliver advanced analytics, workforce planning, executive reporting, and predictive insights that improve organizational effectiveness.

The ideal candidate combines strong analytical expertise, consulting capability, and business acumen with the ability to communicate data-driven insights that influence strategic workforce decisions. This individual will serve as a trusted advisor to HR and business leaders, helping identify workforce trends, risks, and opportunities while leveraging analytics, automation, and emerging technologies to improve decision-making.

Responsibilities Include But Are Not Limited To:

  • Lead workforce analyses that identify trends, risks, and opportunities related to attrition, talent movement, diversity, organizational effectiveness, workforce productivity, and other key people metrics.
  • Partner with HR, Finance, Talent Acquisition, Compensation, and business leaders to provide data-driven insights and recommendations that support strategic workforce and talent decisions.
  • Develop workforce planning analyses, forecasts, and scenario modeling to support organizational planning and business growth.
  • Design, develop, and maintain executive dashboards, scorecards, and reporting solutions using Power BI and other analytics tools.
  • Translate complex workforce data and statistical findings into clear, actionable insights for senior leadership.
  • Support executive reporting, business reviews, and enterprise people metrics through recurring and ad hoc reporting.
  • Leverage predictive analytics, automation, AI, and advanced analytical techniques to improve workforce decision-making and reporting efficiency.
  • Ensure the quality, consistency, governance, and integrity of workforce data and reporting solutions.
  • Serve as a subject matter expert on people analytics methodologies, workforce metrics, and reporting best practices.
  • Promote data literacy across HR and business teams through consultation, training, and mentorship of less experienced analysts.

Work Experience and Qualifications

Required:

  • Bachelor's degree in Analytics, Data Science, Statistics, Business, Economics, Industrial/Organizational Psychology, Human Resources, or a related field.
  • 3+ years of experience in People Analytics, HR Analytics, Business Analytics, Workforce Planning, or a related discipline.
  • Advanced proficiency with Power BI or similar business intelligence and data visualization platforms.
  • Experience with analytics and data transformation tools such as Alteryx, SQL, Python, R, KNIME, or similar technologies.
  • Experience working with HRIS platforms and workforce data; Workday experience preferred.
  • Experience developing executive dashboards, scorecards, self-service reporting solutions, and workforce planning analyses.
  • Knowledge of statistical methods, predictive analytics, trend analysis, and data modeling techniques.
  • Experience supporting executive-level reporting and presenting insights to senior business leaders.
  • Strong consulting, stakeholder management, data storytelling, and communication skills.
  • Demonstrated ability to influence decisions through data-driven insights while maintaining a high degree of accuracy, attention to detail, and intellectual curiosity.

Preferred:

  • Master's degree in Analytics, Data Science, Statistics, Business Administration, Human Resources, or a related field.
  • Experience with workforce forecasting, organizational design analytics, and scenario planning.
  • Experience implementing analytics automation, AI-enabled solutions, or machine learning techniques. Experience in insurance, financial services, or another highly regulated industry.
  • Knowledge of HR data governance, privacy, and data management best practices.

The base salary range for this position is $75,000 - $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).

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:

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

PythonSQLMachine LearningData SciencePower BIWorkdayUnderwritingR

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