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Data Analytics Jobs in Dover, NJ (NOW HIRING)

Data Analyst

Iselin, NJ · On-site +1

$95K - $110K/yr

Identify new data sources that would be useful for data analytics. * Build and maintain custom dashboards and reporting tools to monitor key metrics such as AUM growth, advisor productivity, fee ...

Business Data Analyst

Berkeley Heights, NJ · On-site

$110K - $186K/yr

Bachelor's degree in business, finance, data analytics, computer science, or a related field, or equivalent combination of education, related experience and/or military experience. Experience that ...

Business Data Analyst

Berkeley Heights, NJ · On-site

$110K - $186K/yr

Bachelor's degree in business, finance, data analytics, computer science, or a related field, or equivalent combination of education, related experience and/or military experience. Experience that ...

SFA, FP&A Data & Analytics

Raritan, NJ · On-site

$87K - $109K/yr

Apply advanced analytics and financial modeling techniques to evaluate scenarios, risks, and opportunities. * Ensure data integrity, consistency, and compliance with internal controls, policies, and ...

SFA, FP&A Data & Analytics

Raritan, NJ · On-site

$87K - $109K/yr

Apply advanced analytics and financial modeling techniques to evaluate scenarios, risks, and opportunities. * Ensure data integrity, consistency, and compliance with internal controls, policies, and ...

Sr Data Analyst

Short Hills, NJ · Hybrid

$93K - $118K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ...

Data Analyst II

Bridgewater, NJ · On-site

$40 - $42/hr

Experience developing and automating data analytics and conducting ad-hoc analyses. Strong analytical skills with a proven ability to meet and exceed business objectives. A high level of ...

Bachelor's degree in Data Analytics, Business Analytics, Computer Science or related fields Specialized Knowledge and Skills: * Strong proficiency with data analysis techniques and tools, such as SQL ...

Showing results 21-40

Data Analytics information

See Dover, NJ salary details

$25

$56

$96

How much do data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data analytics in Dover, NJ is $56.09, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $63.56 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What cities near Dover, NJ are hiring for Data Analytics jobs? Cities near Dover, NJ with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Dover, NJ as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,670 per year, or $56.1 per hour.

Vice President, Reinsurance Data, Analytics & Business Performance

Everest

Warren, NJ

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

Title:

Vice President, Reinsurance Data, Analytics & Business Performance

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.

Role Overview

The Vice President, Reinsurance Data, Analytics & Business Performance is responsible for leading the strategy, roadmap, and delivery of data, reporting, analytics, and business performance capabilities across Everest's Reinsurance organization. This role partners closely with Underwriting, Claims, Finance, Operations, Technology, and Insurance Data & Analytics teams to deliver trusted data, actionable insights, and scalable analytics solutions to drive data-enabled decision-making and business outcomes.

The role serves as a key liaison between business and technology, translating business needs into data and analytics initiatives, advancing data governance and data quality capabilities, and driving the adoption of modern reporting, self-service analytics, and AI-enabled solutions. Success in this position requires strong reinsurance domain knowledge, stakeholder management skills, analytics expertise, and the ability to collaborate and lead teams to influence outcomes across our global organization.

A key responsibility of this role is advancing Everest's Reinsurance data maturity by strengthening data governance, data quality, and stewardship practices across critical business domains. The role will champion the adoption of enterprise data standards and help establish a disciplined approach to managing and governing data as a strategic asset.

Key Responsibilities

  • Develop and execute the Reinsurance data, analytics, reporting, and business performance strategy aligned with business objectives and enterprise data priorities.

  • Partner with senior leaders across Underwriting, Claims, Finance, Operations, and Executive Management to identify priorities and deliver data-driven solutions that improve business outcomes.

  • Own the Reinsurance data and analytics roadmap, translating business strategy into a prioritized portfolio of data, reporting, and analytics initiatives.

  • Collaborate with Technology and Enterprise Data & Analytics teams to define requirements, prioritize investments, and deliver scalable data and analytics capabilities.

  • Lead the development and continuous enhancement of operational, management, and executive reporting solutions, ensuring stakeholders have access to timely and actionable insights.

  • Establish and oversee key performance indicators, scorecards, dashboards, and performance measurement frameworks, including governance of KPI definitions, reporting standards, and methodologies.

  • Provide leadership and direction for Power BI capabilities, including reporting standards, data modeling, visualization best practices, and self-service analytics adoption.

  • Define and advance Reinsurance data governance, data stewardship, and ownership practices to improve accountability, consistency, and trust in enterprise data.

  • Establish and mature data quality capabilities, including critical data element management, data quality metrics, monitoring, issue remediation, and continuous improvement processes.

  • Evaluate and implement opportunities to leverage AI and emerging analytics capabilities to improve access to information, enable natural language querying, and deliver AI-driven insights to business users.

  • Partner with business stakeholders to identify opportunities for process improvement, operational efficiencies, portfolio optimization, and business growth through analytics.

  • Communicate business performance, key insights, opportunities, and risks through executive presentations, dashboards, and leadership forums.

  • Lead, develop, and mentor a high-performing team while fostering a culture of accountability, business partnership, innovation, and continuous improvement.

Qualifications

  • Bachelor's degree in Business, Finance, Economics, Analytics, Information Systems, Mathematics, Data Science, or a related discipline; advanced degree preferred.

  • 12+ years of progressive experience in data & analytics, business intelligence, performance management, data strategy, or related leadership roles.

  • Deep Reinsurance industry experience with strong knowledge of underwriting, claims, finance, operations, portfolio management, and performance metrics.

  • Demonstrated experience leading enterprise reporting, analytics, and business intelligence functions that support business and executive decision-making.

  • Advanced Power BI expertise, including dashboard design, data modeling, KPI frameworks, visualization best practices, and self-service analytics enablement.

  • Proven experience partnering with business and technology teams to define requirements, prioritize initiatives, and deliver data, reporting, and analytics capabilities.

  • Strong understanding of data governance, data quality, metadata management, and enterprise data management principles.

  • Experience establishing data stewardship, ownership, and data quality processes across multiple business domains.

  • Familiarity with modern cloud-based data and analytics platforms and emerging AI capabilities relevant to analytics, reporting, and decision support.

  • Strong understanding of Reinsurance underwriting economics and performance metrics, including premium growth, loss ratio, expense ratio, combined ratio, portfolio profitability, and return on capital.

  • Strong stakeholder management skills with the ability to influence and build relationships across senior executives, business leaders, and technology teams.

  • Demonstrated success leading and developing high-performing teams.

  • Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into actionable business insights and recommendations.

The base salary range for this position is $201,000 - $245,000 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. Clickhereto learn more about our culture.

  • Our Valuesare 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 Behaviorsdefine 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 everestbenefits@everestglobal.com.

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