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

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

... Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work ...

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BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... This is an entry level role requiring the individual to have the aptitude to learn and to ...

Essen Medical Associates

Healthcare Analyst

Bronx, NY · On-site

... data analysis or reporting. * Exposure to healthcare, operations, or performance analytics. * Familiarity with KPIs and basic reporting frameworks. What We Offer * Entry-level opportunity with hands ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... make data-driven recommendations for improvements Qualifications Bachelor's degree in Computer ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field • 0-2 years of professional experience (personal projects ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field ● 0-2 years of professional experience (personal projects ...

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

Entry Level Data Analyst information

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$13

$33

$62

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

As of Jul 31, 2026, the average hourly pay for entry level data analyst in Union, NJ is $33.55, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $37.50 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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 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.

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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Union, NJ? The most popular types of Data Analyst jobs in Union, NJ are:
What job categories do people searching Entry Level Data Analyst jobs in Union, NJ look for? The top searched job categories for Entry Level Data Analyst jobs in Union, NJ are:
What cities near Union, NJ are hiring for Entry Level Data Analyst jobs? Cities near Union, 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 Union, NJ as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $69,791 per year, or $33.6 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

Posted yesterday

New

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Job description

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

  • Assist in developing and maintaining ETL/ELT data pipelines.
  • Collect, clean, transform, and validate data from multiple sources.
  • Support the design and optimization of databases and data warehouses.
  • Monitor data pipeline performance and troubleshoot issues.
  • Write efficient SQL queries to extract and analyze data.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data workflows, processes, and technical specifications.
  • Participate in code reviews and follow engineering best practices.
  • Help automate routine data processing tasks.
  • Ensure data quality, integrity, and security.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Basic understanding of SQL and relational databases.
  • Familiarity with at least one programming language such as Python, Java, or Scala.
  • Knowledge of data structures and algorithms.
  • Understanding of ETL/ELT concepts and data modeling fundamentals.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Willingness to learn new technologies and tools.

Preferred Qualifications

  • Internship or academic project experience in data engineering or analytics.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to big data technologies like Apache Spark or Hadoop.
  • Experience with version control systems such as Git.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Basic understanding of data warehousing concepts.

Technical Skills

  • SQL
  • Python (preferred)
  • Git
  • Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
  • Basic Linux/Unix commands
  • Excel
  • Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

  • Problem-solving mindset
  • Attention to detail
  • Communication skills
  • Team collaboration
  • Time management
  • Adaptability
  • Eagerness to learn

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