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Entry Level Data Extraction Jobs in Elizabeth, NJ

Demand Planning Analyst

New York, NY ยท On-site

$50 - $60/hr

Use SQL, Python and Power Query daily to extract, clean and manipulate data * Build and maintain ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

... 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 ...

Showing results 21-39

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 9, 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 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 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 popular job titles related to Entry Level Data Extraction jobs in Elizabeth, NJ? For Entry Level Data Extraction jobs in Elizabeth, NJ, the most frequently searched job titles are:
Infographic showing various Entry Level Data Extraction job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $42,369 per year, or $20.4 per hour.

Adobe Transformation - Senior Associate

PRICE WATERHOUSE COOPERS

Manhattan, NY โ€ข On-site

$77 - $202/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

The Opportunity

As an Adobe Transformation โ€“ Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data and Analytics practice, you will focus on utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity.

In this role, you will be part of a team that focuses on leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. This position offers the opportunity to develop a deeper understanding of the business context and how it is changing, while upholding professional and technical standards. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, contributing to the firm's overall business strategies.

Responsibilities
  • Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
  • Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
  • Building meaningful client connections and learning how to manage and inspire others
  • Navigating complex situations to grow personal brand and deepen technical skills
  • Anticipating the needs of teams and clients to deliver quality outcomes
  • Embracing ambiguity and using it as an opportunity for growth
  • Responding effectively to diverse perspectives, needs, and feelings of others
  • Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems
  • Interpreting data to inform insights and recommendations
  • Upholding and reinforcing professional and technical standards within client engagements
What You Must Have
  • At least a Bachelor's degree
  • At least 2 years of experience
What Sets You Apart
  • Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
  • At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
  • Utilizing advanced data analysis techniques to drive insights
  • Developing complex data models and predictive analytics
  • Leveraging machine learning algorithms for business solutions
  • Excelling in client relationship management and communication
  • Demonstrating proficiency in data visualization tools like Tableau

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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