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Data input clerk vs data analyst

The differences between data input clerks and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data input clerk, becoming a data analyst takes usually requires 2-4 years. Additionally, a data analyst has an average salary of $74,342, which is higher than the $31,498 average annual salary of a data input clerk.

The top three skills for a data input clerk include data entry errors, entry priorities and telephone calls. The most important skills for a data analyst are data analysis, python, and power bi.

Data input clerk vs data analyst overview

Data Input ClerkData Analyst
Yearly salary$31,498$74,342
Hourly rate$15.14$35.74
Growth rate-8%11%
Number of jobs130,834167,520
Job satisfaction--
Most common degreeBachelor's Degree, 39%Bachelor's Degree, 65%
Average age4444
Years of experience24

Data input clerk vs data analyst salary

Data input clerks and data analysts have different pay scales, as shown below.

Data Input ClerkData Analyst
Average salary$31,498$74,342
Salary rangeBetween $26,000 And $37,000Between $53,000 And $103,000
Highest paying City-Richmond, CA
Highest paying state-New Jersey
Best paying company-The Citadel
Best paying industry-Finance

Differences between data input clerk and data analyst education

There are a few differences between a data input clerk and a data analyst in terms of educational background:

Data Input ClerkData Analyst
Most common degreeBachelor's Degree, 39%Bachelor's Degree, 65%
Most common majorBusinessBusiness
Most common college-Northwestern University

Data input clerk vs data analyst demographics

Here are the differences between data input clerks' and data analysts' demographics:

Data Input ClerkData Analyst
Average age4444
Gender ratioMale, 27.6% Female, 72.4%Male, 50.2% Female, 49.8%
Race ratioBlack or African American, 9.6% Unknown, 4.3% Hispanic or Latino, 20.0% Asian, 10.6% White, 55.0% American Indian and Alaska Native, 0.6%Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2%
LGBT Percentage5%12%

Differences between data input clerk and data analyst duties and responsibilities

Data input clerk example responsibilities.

  • Manage daily operations of ACH payments and research errors in different internal and external databases that prevent payments from transferring.
  • Manage daily operations of ACH payments and research errors in different internal and external databases that prevent payments from transferring.
  • Maintain high level of professionalism by adhering to confidentiality of sensitive personal data as required by HIPAA laws.
  • Enter data into QuickBooks, file receipts and other important documents, keep documents/station organize
  • Maintain operation by following policies and procedures of CMS; also maintaining HIPAA regulations and protect information by keeping information confidential.

Data analyst example responsibilities.

  • Manage patient s data in UNIX system.
  • Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
  • Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
  • Develop Java application to automate reformatting of text files for an internal application.
  • Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
  • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
  • Show more

Data input clerk vs data analyst skills

Common data input clerk skills
  • Data Entry Errors, 23%
  • Entry Priorities, 22%
  • Telephone Calls, 15%
  • Computer System, 13%
  • Payroll, 9%
  • Word Processing, 4%
Common data analyst skills
  • Data Analysis, 10%
  • Python, 7%
  • Power Bi, 6%
  • Data Management, 6%
  • Visualization, 5%
  • Data Quality, 4%

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