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Top 20 companies that use Extraction

Companies that use extraction include Intel, Healthcare Services Group, Deloitte, Ericsson, U.S. Department of the Treasury, Oracle, Merck, and several other companies.

What companies use Extraction the most?

1. Intel

Zippia score 4.7

How Intel uses Extraction:

  • Maintained engineering documents, data extraction and preparation for presentation with conclusions and recommendations for Engineering and Manufacturing Management.
  • Applied my software background to the Starrcxt based circuit extraction flows.
  • Supportied parasitic extraction flows for delay calculation and circuit simulation, focused on reduction of over-design and associated product costs

Most common skills for Intel:

  • Linux
  • Perl
  • Debugging
  • Windows
  • RTL
  • Python

2. Healthcare Services Group

Zippia score 4.0

Most common skills for Healthcare Services Group:

  • Payroll
  • Floor Care
  • Customer Service
  • MDS
  • Local Regulations
  • Work Ethic

3. Deloitte

Zippia score 4.7

How Deloitte uses Extraction:

  • Developed the ETL extraction logics using Teradata utilities such as BTEQ, FEXP and MLOAD and Informatica.
  • Developed Stored Procedure, Functions, packages, indexes as part of data extraction and loading.
  • Conducted a Trade Study / COTS Evaluation of over 65 Information Extraction (IE) technologies.

Most common skills for Deloitte:

  • Project Management
  • Java
  • Business Development
  • Process Improvement
  • Business Process
  • Financial Statements

4. Ericsson

Zippia score 4.6

How Ericsson uses Extraction:

  • Implemented schema extraction for Parquet and created External Hive Tables on top of CSV file formats.

Most common skills for Ericsson:

  • RF
  • IP
  • Project Management
  • LTE
  • DNS
  • Java

5. U.S. Department of the Treasury

Zippia score 4.5

Most common skills for U.S. Department of the Treasury:

  • Treasury
  • IRS
  • SharePoint
  • PowerPoint
  • Subpoenas
  • Tax Issues

6. Oracle

Zippia score 4.6

How Oracle uses Extraction:

  • Trained clients on various Financial Reporting (TSER) applications as well as Data Extraction and Validation.

Most common skills for Oracle:

  • Java
  • Cloud
  • CRM
  • UI
  • ERP
  • HTML

7. Merck

Zippia score 4.6

How Merck uses Extraction:

  • Analyzed large quantity of samples using Cohesive online extraction technology.
  • Skilled in use of classical purification techniques such as extraction and recrystallization as well as resins and reagent scavengers.
  • Worked effectively in Data Profiling, Extraction, Data Transformation, Data loading and Data Validation using PL/SQL.

Most common skills for Merck:

  • GMP
  • FDA
  • Clinical Trials
  • Diabetes
  • Sigma
  • Data Analysis

8. Affordable Care

Zippia score 4.7

How Affordable Care uses Extraction:

  • Provided extractions, implants and denture services to people of all economic levels.

Most common skills for Affordable Care:

  • Dentures
  • Oral Surgery
  • Front Desk
  • Health Insurance
  • Dental Services
  • CPR

9. Guidehouse

Zippia score 3.7

10. Apple

Zippia score 4.8

How Apple uses Extraction:

  • Developed automated scripts for data extraction and Disaster Recovery activities.

Most common skills for Apple:

  • Apple
  • Customer Service
  • Mac
  • Product Knowledge
  • Technical Issues
  • Customer Satisfaction

11. SBM Management Services

Zippia score 4.2

Most common skills for SBM Management Services:

  • Customer Satisfaction
  • Business Development
  • Federal Regulations
  • Performance Reviews
  • Financial Performance
  • KPI

12. Baker Hughes

Zippia score 4.9

Most common skills for Baker Hughes:

  • Technical Support
  • Product Line
  • CDL
  • HR
  • ISO
  • SharePoint

13. UMB Bank

Zippia score 4.6

Most common skills for UMB Bank:

  • PowerPoint
  • Wire Transfers
  • Loan Payments
  • Customer Inquiries
  • Bank Products
  • Treasury

14. Randstad North America, Inc.

Zippia score 4.6

Most common skills for Randstad North America, Inc.:

  • PeopleSoft
  • ERISA
  • Data Entry
  • Open Positions
  • Business Development
  • Production Floor

15. Lincoln Financial Group

Zippia score 4.6

How Lincoln Financial Group uses Extraction:

  • Involved in Extraction, Transformation and Loading of data and store the data into staging tables for further various analyses.
  • Gathered business requirements, analyzed data and documented data mapping details for extraction and conversion.

Most common skills for Lincoln Financial Group:

  • Computer System
  • Customer Service
  • Annuities
  • Customer Complaints
  • HR
  • Data Entry

16. Clear Choice Health Care

Zippia score 4.2

Most common skills for Clear Choice Health Care:

  • Health Plan
  • Educational Programs
  • Human Resources
  • Vendor Payments

17. Highmark

Zippia score 4.5

Most common skills for Highmark:

  • Strong Analytical
  • Customer Service
  • Medicare
  • PL/SQL
  • Process Improvement
  • Test Cases

18. Wsp USA Buildings Inc.

Zippia score 4.6

Most common skills for Wsp USA Buildings Inc.:

  • FEMA
  • Conference Calls
  • Linkedin
  • Expense Reports
  • Visio
  • PDF

19. Humana

Zippia score 4.8

How Humana uses Extraction:

  • Developed data extraction models, reporting and analytics solutions for long term and short term, ad-hoc projects.
  • Involved in in Extraction, Transformation, and Loading (ETL) solutions using SSIS.
  • Project Description: SAS ETL project is extraction, transformation and loading the data from Oracle into SAS data mart.

Most common skills for Humana:

  • CMS
  • Medicare
  • Customer Service
  • Outbound Calls
  • Medicaid
  • HIPAA

20. Trigent Software

Zippia score 3.2

Most common skills for Trigent Software:

  • Development Environment
  • XML
  • HTML
  • Spring Framework

Other skills