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Entry Level Data Extraction Jobs (NOW HIRING)

SynergisticIT

... competing for entry level Job positions. Please see the below links to know more about ... Experience with Python, R, or ETL processes. This role is ideal for someone starting their career ...

IDEALFORCE LLC

Data Architect(33397)

Phoenix, AZ

$63.25 - $81.50/hr

... in related roles DW, ETL, BI, or data management - Experience, working knowledge of, or ... entry level to senior leadership Ability to manage multiple projects at the same time and shift ...

IDEALFORCE LLC

Data Developer(33441)

Phoenix, AZ

Develop ETL solutions using SQL Server Integration services (SSIS) Develop reports using SQL Server ... entry level to senior leadership Ability to work on multiple projects at the same time and shift ...

Actfore

Data Entry Analyst - Part Time

Reston, VA · On-site

The Jr. Analyst plays a critical role in examining various types of documents to extract sensitive ... While this is an entrylevel, parttime role, it provides meaningful exposure to realworld cyber ...

Murata America

Associate Data Engineer

San Diego, CA

$121.60K - $146K/yr

The assigned tasks will be entry level to Moderate in Nature, requiring basic domain knowledge and ... Support and monitor assigned ETL pipelines which integrate data from internal and external data ...

New

GHD

Entry-Level Environmental Technician

Borger, TX

$18 - $24/hr

Generate litigation quality field notes and enter collected field data electronically to database ... extraction systems, soil vapor extraction, dual phase extraction and related environmental ...

GHD Group

Entry-Level Environmental Technician

Borger, TX · On-site

$18 - $24/hr

Generate litigation quality field notes and enter collected field data electronically to database ... extraction systems, soil vapor extraction, dual phase extraction and related environmental ...

Proctor & Gamble

Data Asset Manager

Box Elder, SD

$85K - $122.20K/yr

Work with development teams on ETL processes, engage with vendors to integrate governance practices ... Job Schedule Full time Job Number R000147268 Job Segmentation Entry Level Starting Pay / Salary ...

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

As of May 29, 2026, the average hourly pay for entry level data extraction in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Extraction specialist, and why are they important?

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 an Entry Level Data Extraction job?

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 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.

More about Entry Level Data Extraction jobs
What cities are hiring for Entry Level Data Extraction jobs? Cities with the most Entry Level Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Entry Level Data Extraction jobs? States with the most job openings for Entry Level Data Extraction jobs include:
What job categories do people searching Entry Level Data Extraction jobs look for? The top searched job categories for Entry Level Data Extraction jobs are:
Entry Level Data Extraction jobs near you
Infographic showing various Entry Level Data Extraction job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
Consultant, Data Analytics & AI (51467)

Consultant, Data Analytics & AI (51467)

Citrin Cooperman

Manhattan, NY

Full-time

Posted 8 days ago

Job description

The Consultant, Data Analytics & AI supports the design and delivery of analytics and AI solutions that help clients make better use of their data. This is an entry-level consulting role suited for candidates with a strong academic foundation and early hands-on exposure to data tools. You will work alongside senior practitioners to contribute to client engagements, build your technical depth, and develop an understanding of how analytics creates business value.

Data Analytics & Solution Development

  • Assist in the design and development of data analytics solutions aligned with client business needs.
  • Support the build-out of ETL/ELT pipelines and data models using Microsoft Fabric and related tools.
  • Write and optimize SQL queries for data transformation, validation, and reporting.
  • Contribute to Power BI report and dashboard development, including data modeling and DAX.
  • Help ensure data accuracy and consistency across client environments.

Microsoft Fabric & Cloud Platforms

  • Develop familiarity with Microsoft Fabric and Power BI as core delivery platforms.
  • Support the configuration and testing of cloud data workflows under senior guidance.
  • Stay current on Microsoft Fabric innovations, AI Copilot features, and emerging data capabilities.

Client Engagement & Communication

  • Participate in client meetings and help track open items and action lists.
  • Assist in translating technical findings into clear documentation and presentation materials.
  • Build relationships with client contacts under the direction of project leads.

Project Delivery & Execution

  • Contribute to project workstreams with a focus on quality, timeliness, and attention to detail.
  • Assist with documentation, training materials, and knowledge transfer artifacts.
  • Proactively flag risks or blockers to project leads.
  • Collaborate with cross-functional teams in a professional services environment.

  • Bachelor's degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.

  • 0 to 2 years of experience in data analytics, business intelligence, or a related technical role; internship or academic project experience is considered.

  • Working knowledge of SQL for data querying and manipulation.

  • Exposure to Python for data analysis is a plus.

  • Familiarity with Power BI, Tableau, or similar data visualization tools.

  • Basic understanding of cloud platforms, particularly Microsoft Azure or Microsoft Fabric, is preferred.

  • Strong analytical thinking and problem-solving skills.

  • Clear written and verbal communication with the ability to present ideas concisely.

  • Eagerness to learn in a fast-paced consulting environment with multiple concurrent workstreams.

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, Computer Science, or a related field is a plus.

  • Microsoft certifications such as PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), or DP-900 (Azure Data Fundamentals) are a plus, not a requirement.

  • Exposure to data governance concepts, ETL workflows, or AI-powered analytics through coursework or self-study.

  • Prior internship, co-op, or project experience in a consulting, analytics, or technology environment is a differentiator.

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