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Entry Level Data Analysis Jobs in Dunellen, NJ (NOW HIRING)

Tech Consulting

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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 ...

Posted today

Vendelux Inc

Part time Data Intern

New York, NY · On-site

We are offering a paid internship to an entry-level person looking to break into tech and startups ... Use SQL and dashboarding tools to perform data analysis to identify insights about events ...

Hadronts

Entry Level Java developer

Jersey City, NJ

... to work with you. Entry Level Java developer We are looking for a motivated and confident ... Perform data analysis to support internal and external project needs. Design basic programs for ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

This is an entry level role requiring the individual to have the aptitude to learn and to ... Perform ad-hoc Analysis that contributes to strategy and decision making * Aid team supporting ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Dunellen, NJ

Entry Level Data Analysis information

See Dunellen, NJ salary details

$13

$34

$65

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

As of Jul 31, 2026, the average hourly pay for entry level data analysis in Dunellen, NJ is $34.70, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $38.75 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What job categories do people searching Entry Level Data Analysis jobs in Dunellen, NJ look for? The top searched job categories for Entry Level Data Analysis jobs in Dunellen, NJ are:
What cities near Dunellen, NJ are hiring for Entry Level Data Analysis jobs? Cities near Dunellen, NJ with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Dunellen, NJ as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $72,178 per year, or $34.7 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

Posted 16 hours ago

Posted today

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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

Thanks