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

Omnicom

Analyst, Business Analytics

New York, NY · On-site

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 ...

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

$171K/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 ...

Randstad Canada

Global Markets Analyst

New York, NY · On-site

$110K/yr

Capital Mrkts Sales & Service The Global Markets Analyst role is an entry-level position, designed ... Build technical skills (Excel, data analysis, modeling) and soft skills (communication ...

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

Entry Level Data Analyst information

See Wayne, NJ salary details

$13

$32

$61

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

As of Aug 22, 2026, the average hourly pay for entry level data analyst in Wayne, NJ is $32.66, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.49 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 Wayne, NJ?

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

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

Cities near Wayne, 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 Wayne, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,924 per year, or $32.7 per hour.

Techno-Functional Business Analyst AML and Fraud detection

ATEM Corp

Hoboken, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Send your updated resume to -

Role: Techno-Functional Business Analyst

Location: Hoboken, NJ (2 days Hybrid)

 

Job description

 
Techno functional profiles with AML and Fraud detection experience along with some light coding skills = SQL, Python, and Jupyter for data analysis

 

We are looking for a Business Analyst to join our team and contribute to a long-term partnership with a valued client renowned for their work in financial crime prevention. At Ness, we support our client in delivering high-quality services and innovative solutions to their customers — and we’re excited to offer you the opportunity to be part of this success story.

As a Business Analyst, you will play a key role within the Professional Services team, translating business requirements into robust, feasible, and competitive solutions. You’ll collaborate closely with stakeholders to ensure that client needs are clearly understood and effectively implemented.

 

Requirements and responsibilities

  • Gathering and analyzing data and business requirements
  • Designing and documenting functional specifications
  • Supporting solution implementation and configuration
  • Conducting expert testing and fine-tuning of the solution
  • Training end users and supporting integration and UAT testing
  • Participating in the full project lifecycle, from discovery to delivery
  • Collaborating closely with global teams across the organization, including Sales, Customer Support, and other business units
  • Engaging with R&D teams to provide feedback and insights that help shape and influence product strategy

What you’ll bring:   

Core Requirements

  • Proven experience as a Business Analyst, ideally in complex or regulated environments.
  • Proficiency in SQL, Python, and Jupyter for data analysis, automation, and reporting is highly valued
  • Familiarity with SaaS and web-based products, including their architecture and delivery models.
  • Ability to create clear and comprehensive functional specifications for both technical implementers and business stakeholders.
  • Strong project discipline: Ability to adhere to project plans, manage timelines, and address issues proactively.
  • Expertise in gathering and translating business requirements into practical, scalable solutions.
  • Strong analytical skills: Capable of identifying data patterns, diagnosing potential issues, and implementing effective solutions.
  • Hands-on experience with software development methodologies and implementation processes (e.g., Agile, Scrum, Waterfall).
  • Ability to work effectively in a multicultural, global environment, collaborating across time zones and diverse teams.
  • Effective communication in English: Strong verbal and written skills to collaborate with internal teams and third parties, ensuring clear and consistent communication.

Apply