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Data Analytics Jobs in Edison, 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 ...

Jj

Lead, Digital & Data Analytics

New Brunswick, NJ

The Digital & Data Analytics (D&DA) Team within Global Supply Chain Services is transforming how the organization uses data, automation, and AI to improve productivity, identify CPIs (Continuous ...

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All JobsData Analytics JobsData Analytics Jobs in Edison, NJ

Data Analytics information

See Edison, NJ salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Edison, NJ is $55.49, according to ZipRecruiter salary data. Most workers in this role earn between $44.57 and $62.88 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 Edison, NJ? The most popular types of Data Analytics jobs in Edison, NJ are:
What are popular job titles related to Data Analytics jobs in Edison, NJ? For Data Analytics jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Edison, NJ look for? The top searched job categories for Data Analytics jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Analytics jobs? Cities near Edison, NJ with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Edison, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,428 per year, or $55.5 per hour.

Global Head of Claims Data & Analytics

Starr

Manhattan, NY • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Starr is a global leader in commercial insurance with over a century of expertise, seeking a seasoned and visionary leader for the role of Global Head of Claims Data & Analytics. This executive will define and drive the enterprise-wide data and analytics strategy to enhance decision-making and support profitable growth, while promoting a data-driven culture.
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 across the 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:
Required:
• 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.
Company:
With 100+ years of experience across leading industries, We apply an innovation mindset, agile approach, And a global team with local expertise wherever you operate. Founded in 1919, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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