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

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Familiarity with ETL/ELT pipelines using Azure Data Factory, Azure Synapse Pipelines, or similar ...

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Familiarity with ETL/ELT pipelines using Azure Data Factory, Azure Synapse Pipelines, or similar ...

... extract the data needed Removing corrupted data and Performing initial analysis to assess the quality of the data Performing further analysis to determine the meaning of the data Performing final ...

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 ...

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 ...

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

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

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Entry Level Data Extraction information

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 the most commonly searched types of Data Extraction jobs in New York?

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

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

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

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

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

Infographic showing various Entry Level Data Extraction job openings in New York 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.

Data Migration Analyst (Entry Level)

Rayven IT Solutions

Edison, NJ • On-site

Other

Posted 3 days ago

New


Job description

RAYVEN IT Solutions is a leading IT Consulting firm offers a comprehensive range of services that are domain specific with a strong focus on technology, business process & practices. Founded by top-notch profs with the vision of bridging the gap between people, process & technology. RAYVEN has the capability & resources to help clients realize their technology driven business transformation initiatives. We are specialized & provide solution-based services to our clients in the areas of SAP/ERP.  

We are currently looking for Data Migration Analyst (Entry Level) 

Job Title: Data Migration Analyst (Entry Level)
Location: Edison, NJ (Onsite)
Duration: Fulltime  
Start Date: ASAP

Summary
We are looking for an Entry-Level Data Migration Analyst to support data migration, data validation, cleansing, and transformation activities. The ideal candidate will have a basic understanding of SQL, databases, ETL processes, data mapping, and data quality. The candidate will work closely with senior data migration consultants, business analysts, and technical teams to ensure accurate and successful movement of data between systems.
2-4 years of experience in data migration, data analysis, database development, ETL, or related areas.
Entry Level Candidates with relevant academic projects, internships, or certifications are welcome.
Bachelor''''s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
 
Please send the resumes to with a subject line Data Migration Analyst (Entry Level) for an immediate consideration. 

Thanks, 
Harry Dhruv