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

Dhalite Inc.

Junior Product Analyst

Newark, NJ · On-site

$27.75 - $37/hr

Bachelor''s degree in Business, Computer Science, Information Systems, Data Analytics, Engineering, or a related field. * 0-2 years of relevant experience. * entry level candidates with relevant ...

Career Launch AI

Entry Private Markets Analyst

Manhattan, NY · Hybrid

$140K - $185K/yr

Members of the Career Launch AI platform gain access to exclusive entry-level buy-side roles across ... Strong Excel skills and comfort working with financial models and data * Foundational understanding ...

Azend Pharma

FP&A Analyst

South Plainfield, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

Azend Pharma

FP&A Analyst

Edison, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

Azend Pharma

FP&A Analyst

Piscataway, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

Pwc

AI & GenAI Data Scientist - Manager

Florham Park, NJ · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

New York, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

MetTel

Pricing Analyst

Holmdel, NJ · On-site

$60K/yr

We are seeking an entry-level Pricing Analyst with strong Excel skills, an analytical mindset, and ... Prepare, review, and analyze data in Excel to support quoting, pricing, and reporting activities.

MetTel

Pricing Analyst

Holmdel, NJ · On-site

$60K/yr

We are seeking an entry-level Pricing Analyst with strong Excel skills, an analytical mindset, and ... Prepare, review, and analyze data in Excel to support quoting, pricing, and reporting activities.

Azend Pharma

FP&A Analyst

Edison, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

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

Entry Level Data Analyst information

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

As of Sep 15, 2026, the average hourly pay for entry level data analyst in Edison, NJ is $34.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $38.08 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 Edison, NJ?

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Edison, NJ as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,902 per year, or $34.1 per hour.

Associate Analytics Engineer - Data & Visualization

Somerset, NJ • On-site

SHI
IT Services • 5 - 10K employees
Learn more about SHIexternal

$62K - $62K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next.But the heartbeat of SHI is our employees - all 7,000 of them.If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

  • Continuous professional growth and leadership opportunities.

  • Health, wellness, and financial benefits to offer peace of mind to you and your family.

  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job SummaryThe Associate Analytics Engineer - Data & Visualization supports the development, maintenance, and continuous improvement of dashboards, reporting solutions, and data models that enable business teams to make informed, datadriven decisions. This entrylevel role is designed for earlycareer professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloudbased data environment.
Working closely with senior team members, this role helps transform raw data into trusted, actionable insights while learning best practices related to data modeling, dashboard design, governance, and analytics delivery.

Role Description

Dashboard & Visualization Support

  • Support the development and maintenance of dashboards and reports using tools such as Microsoft Power BI

  • Assist with implementing dashboard enhancements, bug fixes, and usability improvements

  • Help ensure dashboards are visually clear, intuitive, and aligned with established reporting standards

  • Validate dashboard data accuracy and support testing activities prior to releases

  • Support recurring reporting and respond to ad hoc data requests from business stakeholders

Data Engineering & Transformation Support

  • Assist in building and maintaining datasets, transformation logic, and curated reporting tables

  • Support data quality validation and troubleshooting across reporting pipelines

  • Learn and apply analytics engineering best practices related to data structures, naming conventions, and governance

  • Help maintain documentation for datasets, business rules, and KPI definitions

  • Support the broader analytics architecture across platforms such as Microsoft Fabric, SQLbased environments, and cloud data platforms

Analytics Operations & Delivery

  • Participate in sprint planning, backlog refinement, and regular status updates

  • Track work and updates using project management tools such as Asana

  • Collaborate with senior analytics engineers and analysts to support project delivery timelines

  • Assist with production support and issue resolution for dashboards and reporting solutions

  • Learn how analytics solutions integrate with enterprise business processes and workflows

What Success Looks Like

  • Produces accurate, reliable, and wellstructured reporting outputs

  • Demonstrates curiosity, initiative, and continuous learning in analytics engineering concepts

  • Contributes positively to team collaboration and delivery goals

  • Builds stronger technical and business understanding over time

  • Develops confidence in independently supporting dashboards, datasets, and reporting workflows


Behaviors and Competencies

  • Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences.

  • Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.

  • Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.

  • Critical Thinking: Can analyze and interpret data to inform decision-making, and propose solutions based on logical reasoning.

  • Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.

  • Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.

  • Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.

  • Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.

  • Time Management: Can generally use time effectively and is working towards improving task prioritization and deadline management.

  • Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes.


Skill Level Requirements

  • Foundational analytics and data engineering skill set

  • Ability to work with SQL and relational database structures

  • Data visualization and reporting ability

  • Analytical thinking and attention to detail

  • Problemsolving and troubleshooting skills

  • Clear written and verbal communication skills

  • Collaboration skills within crossfunctional technical teams

  • Ability to manage multiple tasks in a structured, sprintbased environment

  • Willingness to learn new technologies and analytics best practices


Other Requirements

  • Bachelor's degree or equivalent experience required

  • 1-2 years of experience in analytics engineering, business intelligence development, or data modeling roles

  • Foundational understanding of SQL and relational databases

  • Exposure to data visualization or reporting tools through coursework, internships, or personal projects

Preferred:

  • Internship, academic, or project experience using Microsoft Power BI or similar business intelligence tools

  • Exposure to technologies such as SQL, Python, PySpark, or cloudbased data platforms

  • Familiarity with analytics concepts such as ETL/ELT, data modeling, or dashboard design

  • Interest in analytics engineering, business intelligence, or data visualization as a longterm career path

The estimated annual pay range for this position is $75,000 - $95,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity - M/F/Disability/Protected Veteran Status

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