ZipRecruiter

Log In

2

Entry Level Data Analyst Jobs in Raritan, NJ (NOW HIRING)

Omnicom

Analyst, Business Analytics

New York, NY · Hybrid

Data Science and Analytics Performs routine assignments using existing procedures within a job ... This level may include individuals in entry level roles, typically graduates. Extracts actionable ...

Polymarket

Trade Surveillance Analyst

New York, NY · On-site

$75K - $150K/yr

This is an entry-level role, but the work carries real regulatory weight. If you want to build ... Investigate alerts end-to-end, pulling and analyzing order book data, position information, and ...

Outfront Media

Data Steward, Customer Domain

New York, NY · On-site

$75K - $100K/yr

... of the Analyst, Data Governance for the Customer Domain involves upholding OUTFRONT's Data Governance policies, data procedures, and data definitions related to customer data. This entry-level ...

previous page

Showing results 41-60

All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Raritan, NJ

Entry Level Data Analyst information

See Raritan, NJ salary details

$13

$33

$63

How much do entry level data analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for entry level data analyst in Raritan, NJ is $33.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $37.64 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Raritan, NJ?

The most popular types of Data Analyst jobs in Raritan, NJ are:

What cities near Raritan, NJ are hiring for Entry Level Data Analyst jobs?

Cities near Raritan, NJ with the most Entry Level Data Analyst job openings:

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Raritan, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $70,133 per year, or $33.7 per hour.

Analyst, Business Analytics

New York, NY • Hybrid

Omnicom
Telecommunications • 1 - 10 employees
Learn more about Omnicomexternal

Full-time

Re-posted 3 days ago

Job description

Agency:

Hearts & Science

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics


Job Description:

Performs routine assignments using existing procedures within a job discipline to solve routine or standard problems and generally receive instruction, guidance and direction from more experienced colleagues or supervisors.
The position may require a degree, formal education, or relevant prior work experience. This level may include individuals in entry level roles, typically graduates.
Extracts actionable insights from high volume, high dimensional data to investigate complex business and marketing problems and inform decision making. Applies a range of data preparation, analytical, modelling, and visualization techniques-including statistical analysis, predictive modelling, experimentation, pattern recognition, and AI/advanced analytics tools-to generate insights that improve business performance and outcomes.
Analyzes business, customer, operational, and market data to identify trends, optimize effectiveness, and forecast future performance. Develops and maintains analytics outputs such as reports, dashboards, and visualizations using data platforms and tools (e.g., ERP/CRM systems, relational or NoSQL databases, business intelligence and analytics software), and may create custom scripts, models, or leverage AI enabled approaches to enhance analysis and insight generation.
May contribute to advanced analytics initiatives such as marketing mix modelling, cross channel measurement, and strategic insight development to optimise investment decisions, media effectiveness, and marketing performance across channels and platforms. New York $34,000.00 - $60,000.00

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice


For US Job Seekers:


It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

Apply