ZipRecruiter

Log In

2

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

Tech Consulting

Be Seen First

Junior Data Analyst

Newark, NJ · On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work ... Write and execute SQL queries to extract, transform, and analyze data. * Create and maintain Hive ...

New

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 ...

next page

Showing results 1-20

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

Entry Level Data Analyst information

See Passaic, NJ salary details

$13

$34

$63

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

As of Aug 19, 2026, the average hourly pay for entry level data analyst in Passaic, 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 Passaic, NJ?

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

What are popular job titles related to Entry Level Data Analyst jobs in Passaic, NJ?

For Entry Level Data Analyst jobs in Passaic, NJ, the most frequently searched job titles are:

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

Cities near Passaic, 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 Passaic, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $70,913 per year, or $34.1 per hour.

Junior Data Analyst

Tech Consulting

Newark, NJ • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

Posted yesterday

New

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

Entry Level Data Engineer

Full-Time

Candidate must be open to relocate


Responsibilities:

  • Work with Hadoop ecosystem technologies such as HDFS, Hive, and MapReduce.
  • Write and execute SQL queries to extract, transform, and analyze data.
  • Create and maintain Hive tables and perform data processing using HiveQL.
  • Load, clean, and validate large datasets stored in Hadoop.
  • Assist senior developers with ETL/data processing workflows.
  • Troubleshoot data-related issues and investigate query or processing errors.
  • Perform basic data analysis and generate reports based on business requirements.
  • Follow data quality, security, and documentation standards.
  • Learn and work with tools such as Linux, Git, Python, or Spark as required.


Required Skills:

  • Basic knowledge of SQL: SELECT, JOIN, GROUP BY, subqueries, aggregate functions.
  • Understanding of Hadoop and HDFS concepts.
  • Basic knowledge of Hive/HiveQL.
  • Familiarity with Linux commands.
  • Understanding of databases and data warehousing concepts.
  • Good problem-solving and analytical skills.


Good to Have:

  • Apache Spark
  • Python
  • ETL concepts
  • Data warehousing
  • Git
  • Cloud platforms such as AWS/Azure/GCP


Thanks