ZipRecruiter

Log In

2

Entry Level Data Extraction Jobs in Elizabeth, NJ

MedReview

ETL Engineer

New York, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks * Build and ...

MedReview

ETL Engineer

Manhattan, NY · On-site

This is not an entry-level role. You will be working with modern data tools and large datasets ... Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks * Build and ...

Robert Half

Entry Level Analyst

Woodbridge, NJ · On-site

$28.85 - $31.25/hr

We are looking for a detail-oriented Entry Level Analyst. This Long-term Contract position is well ... Work with SAP data and related business systems to extract information and support analysis ...

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 · 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 ...

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

Responsibilities - Leveraging advanced analytics and statistical techniques to extract insights ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

IBM

Data Engineer Intern 2027

New York, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit. The ...

IBM

Data Engineer Intern 2027

Bronx, NY

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

IBM

Data Engineer Intern 2027

New York, NY

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit. The ...

IBM

Data Engineer Intern 2027

Bronx, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

next page

Showing results 1-20

All JobsData Extraction JobsEntry Level Data Extraction JobsEntry Level Data Extraction Jobs in Elizabeth, NJ

Entry Level Data Extraction information

See Elizabeth, NJ salary details

$11

$20

$31

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

As of Aug 30, 2026, the average hourly pay for entry level data extraction in Elizabeth, NJ is $20.37, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $22.02 per hour, depending on experience, location, and employer.

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 job categories do people searching Entry Level Data Extraction jobs in Elizabeth, NJ look for?

The top searched job categories for Entry Level Data Extraction jobs in Elizabeth, NJ are:

Entry Level Data Extraction jobs near you
Infographic showing various Entry Level Data Extraction job openings in Elizabeth, NJ 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, with an average salary of $42,369 per year, or $20.4 per hour.

Entry Level Business Analyst

Jersey City, NJ

Data Cloud Merge
See more jobs at Data Cloud Mergeexternal

Full-time

Re-posted 9 days ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
  • Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
  • Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
  • Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
  • Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau
Qualifications
  • Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
  • Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
  • Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
  • Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.
Additional Information

Describe your perks and culture

Apply