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Entry Level Data Extraction Jobs in New Jersey (NOW HIRING)

Tech Consulting

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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

Thorlabs

Data Analyst I

Newton, NJ

$72K - $94K/yr

Develop and implement data models, algorithms, and statistical techniques to extract insights and ... * Entry level to 1 year experience with data visualization best practices and the ability to ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ · On-site

... extract data from a database. - Excellent verbal and written communication skills, including experience working directly with customers to discuss their requirements and objectives. Additional ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ

... extract data from a database. - Excellent verbal and written communication skills, including experience working directly with customers to discuss their requirements and objectives. Additional ...

Iron Mountain

Multimedia Specialist I

Moonachie, NJ

$19/hr

... extract more from their inventory, and protect their data privacy in innovative and socially ... What You'll Bring The ideal candidate will have: * Entry-level to 2 years of experience in media ...

All JobsData Extraction JobsEntry Level Data Extraction JobsEntry Level Data Extraction Jobs in New Jersey

Entry Level Data Extraction information

What is an entry level data extraction?

An Entry Level Data Extraction job involves collecting, organizing, and processing data from various sources, such as documents, websites, or databases. People in this role typically use basic tools and software to extract relevant information, ensuring its accuracy and completeness. These positions are suitable for individuals new to the field and often require attention to detail, basic computer skills, and sometimes familiarity with data management tools. Entry level data extraction jobs serve as a starting point for careers in data analysis and data management.

What are the key skills and qualifications needed to thrive as an entry level data extraction specialist?

To thrive as an Entry Level Data Extraction specialist, you need strong attention to detail, basic data analysis skills, and familiarity with spreadsheets or databases, often supported by a high school diploma or equivalent. Commonly used tools include Microsoft Excel, Google Sheets, and sometimes data extraction software or simple scripting languages like Python. Strong organizational skills, problem-solving abilities, and effective communication help you excel in handling large volumes of information and clarifying data requirements. These skills ensure accuracy, efficiency, and reliability in preparing and delivering data critical for business decisions.

What are some common challenges faced in an entry level data extraction role, and how can they be addressed?

Entry level data extraction professionals often encounter challenges such as dealing with inconsistent data formats, handling large volumes of unstructured information, and learning new data extraction tools or software. Addressing these challenges involves developing strong attention to detail, collaborating closely with team members to share best practices, and proactively seeking training opportunities to build technical skills. Regular communication with supervisors and peers can also help in troubleshooting issues and improving workflow efficiency.

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

AspectEntry Level Data ExtractionData Analyst
Required CredentialsHigh school diploma or equivalent; basic knowledge of data toolsBachelor's degree in data science, statistics, or related field
Work EnvironmentData collection, cleaning, and initial processing; often in data-focused teamsData analysis, interpretation, reporting; often in cross-functional teams
Employer & Industry UsageUsed in tech, finance, marketing for data gathering tasksUsed across industries for insights, decision-making, and reporting

Entry Level Data Extraction involves gathering and preparing data for analysis, requiring basic technical skills. Data Analysts build on this foundation, performing in-depth analysis, interpretation, and reporting. While data extraction is a starting point, data analysis involves a broader skill set and strategic insights.

What are the most commonly searched types of Data Extraction jobs in New Jersey?

The most popular types of Data Extraction jobs in New Jersey are:

What are popular job titles related to Entry Level Data Extraction jobs in New Jersey?

For Entry Level Data Extraction jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Extraction jobs in New Jersey look for?

The top searched job categories for Entry Level Data Extraction jobs in New Jersey are:

What cities in New Jersey are hiring for Entry Level Data Extraction jobs?

Cities in New Jersey with the most Entry Level Data Extraction job openings:

Entry Level Data Extraction jobs near you
Infographic showing various Entry Level Data Extraction job openings in New Jersey as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Junior Data Analyst

Tech Consulting

Newark, NJ • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

Posted yesterday

New

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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