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Data Analytics Jobs in Wayne, NJ (NOW HIRING)

Omnicom

11324-Senior Analyst, Data & Analytics

New York, NY · On-site

$94K - $118K/yr

Responsibilities: • Mentor in the Analytics Function oResponsible for accurate reporting, data integration, dashboard design and the presentation of actionable insights oMentor and develop junior ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

ABOUT THE ROLE: We're looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy ...

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All JobsData Analytics JobsData Analytics Jobs in Wayne, NJ

Data Analytics information

See Wayne, NJ salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Wayne, NJ is $54.01, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 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 job categories do people searching Data Analytics jobs in Wayne, NJ look for? The top searched job categories for Data Analytics jobs in Wayne, NJ are:
What cities near Wayne, NJ are hiring for Data Analytics jobs? Cities near Wayne, NJ with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Wayne, NJ as of August 2026, with employment types broken down into 12% Internship, 64% Full Time, and 24% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $112,337 per year, or $54 per hour.

Global Head of Claims Data & Analytics

Starr Insurance Companies

New York, NY • On-site

Full-time

Re-posted 20 days ago

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.
We are seeking a seasoned and visionary leader to serve as our Global Head of Claims Data & Analytics. This senior executive will define and drive our enterprise-wide data and analytics strategy, enhancing organizational decision-making and supporting profitable growth. The role will champion a data-driven culture, ensuring the company leverages advanced analytics, data governance, and business intelligence to improve claims management, key operational metrics and customer experience.
Key Responsibilities
  • Lead, develop, and mentor a high-performing global claims data & analytics team, fostering collaboration across underwriting, claims, actuarial, finance, and IT.
  • Design and implement a comprehensive data and analytics strategy aligned with the organization's vision and business objectives.
  • Oversee enterprise data governance, quality, security, and compliance initiatives, ensuring data integrity and regulatory compliance (e.g., GDPR, CCPA).
  • Drive the adoption of predictive modeling, machine learning, and advanced analytics solutions for, claims, , fraud detection, and operational efficiency.
  • Participate in the selection and integrate of leading-edge data technologies, platforms, and tools to support scalable and agile analytics infrastructure.
  • Foster a data-driven culture by promoting analytics literacy and best practices acrossthe global claim organization.
  • Establish key performance indicators (KPIs), metrics dashboards, and reporting frameworks to measure progress and impact.
  • Partner with external vendors, data providers, and technology partners to expand data sources and capabilities.
  • Stay ahead of industry trends, regulatory changes, and disruptors in data & analytics within the Insurance sector.

Qualifications
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
  • 10+ years' progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.
  • Proven expertise operationalizing data-driven solutions.
  • Deep understanding of casualty and property insurance products, global markets, and regulatory environments.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau).
  • Exceptional leadership, communication, and stakeholder management skills.
  • Strong project management,vendor management and communication skills.

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

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