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Data Analytics Jobs in Elizabeth, NJ (NOW HIRING)

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

The Data and Analytics Architect will be responsible for designing data platforms and applications, establishing architecture patterns, and collaborating with IT and business partners to enhance data ...

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

New York, NY · On-site

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

Manager, Data Analytics

Parsippany, NJ · On-site

$70K - $140K/yr

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Data Analytics Engineer

New York, NY · On-site

$170K - $210K/yr

We are looking for an Analytics / Data Engineer to build the foundation that enables scalable reporting, trusted metrics, and seamless data access across the company. What You'll Do * Design, build ...

Data Analytics Analyst II

New York, NY · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Four or more years of experience in Data Analytics, Product Analytics, Data Science, Business Intelligence, or related analytical disciplines. * Experience working within Agile software delivery ...

Data Analytics Analyst II

Newark, NJ · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines ...

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Position requires a Master ...

Showing results 21-40

Data Analytics information

See Elizabeth, NJ salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in Elizabeth, NJ is $55.10, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $62.40 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 are the most commonly searched types of Data Analytics jobs in Elizabeth, NJ? The most popular types of Data Analytics jobs in Elizabeth, NJ are:
What job categories do people searching Data Analytics jobs in Elizabeth, NJ look for? The top searched job categories for Data Analytics jobs in Elizabeth, NJ are:
What cities near Elizabeth, NJ are hiring for Data Analytics jobs? Cities near Elizabeth, NJ with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,605 per year, or $55.1 per hour.

Data & Analytics Architect

Selective Insurance

Short Hills, NJ • On-site

$69.25 - $89.25/hr

Full-time

Re-posted 9 days ago


Selective Insurance rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

69th of 304 rated insurance


Job description

Job Summary:
Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing data platforms and applications, establishing architecture patterns, and collaborating with IT and business partners to enhance data and analytics capabilities.
Responsibilities:
• Works with Delivery Managers to balance rapid delivery of business solutions with sound technical solutions and on development team member competencies, skills, and overall productivity.
• Collaborate with Delivery teams to define, select, and implement data, analytics, and information solutions that consider business objectives and meet non-functional requirements.
• Assist the Enterprise Architect in the planning process for new business initiatives through buy/build recommendations, vendor solutions evaluations, assessing designs against company standards, evaluating technical risk and define and align technology and roadmaps with business strategies.
• Monitor trends and evaluates emerging technologies that are candidates for the future state data and analytics architecture or evolving business strategy and supports vendor analysis and proofs-of-concept to validate new technologies, solutions, and designs as needed.
• Provide mentorship and guidance to Junior Architects and Developers in data and analytics technologies, best practices, innovation, designs, and processes.
• Assists with tier 2 application production issues and challenging issues in any phase of the development lifecycle. Supports continuous improvement by identifying and proposing tuning opportunities.
• Identifies opportunities to increase efficiency, quality, and speed to market. Proposes actions to realize opportunities and advocates for DevOps/DataOps opportunities.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, or other related field, or equivalent work experience.
• 7 to 10 years of experience in Data and Analytics Architecture
• Understanding of Data Design methodologies and their application in complex multi-tier systems.
• Knowledge of Real Time, Service Oriented Architecture (SOA) and Web Oriented Architecture (WOA)
• Strong understanding of Data warehouses, Data Marts and Data Lake.
• Ability to develop and architect solutions based on non-functional requirements.
• Superior technical knowledge in Data Quality, Standards, Governance, and Design
• Ability to effectively work well with people in other departments and/or outside of the enterprise.
• Strong verbal, written, and interpersonal communication and the ability to communicate with audiences at varying technical levels.
Preferred:
• P&C Insurance industry experience preferred.
• Experience with Power BI, Azure ML, Azure Databricks, IICS and/or Informatica PowerCenter is preferred.
• Experience architecting and data modeling in Azure ecosystem is preferred.
Company:
At Selective, we maintain a commitment to provide unique insurance solutions that help keep the families and businesses of our communities protected. Founded in 1926, the company is headquartered in Branchville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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