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Create CVIf you’re searching for “data entry clerk salary,” you’re not just looking for a number. You’re trying to understand what you can realistically earn, how to increase that number, and whether this role is worth pursuing long-term.
From a recruiter and hiring manager perspective, data entry roles are among the most misunderstood positions in the job market. Compensation varies significantly based on speed, accuracy, specialization, industry, and even how your resume is positioned.
This guide breaks down:
Real salary ranges in the US (entry to advanced levels)
How recruiters actually determine your pay
What separates low-paid vs high-paid data entry clerks
How to increase your earning potential strategically
Resume positioning that directly impacts salary offers
Let’s start with realistic, market-based salary ranges based on current hiring trends and recruiter benchmarks.
Hourly: $14 – $18 per hour
Annual: $29,000 – $37,000
Typical candidates:
Little to no experience
Basic typing (40–50 WPM)
Limited exposure to Excel or databases
Recruiter insight:
At this level, candidates are seen as replaceable labor unless they show speed or accuracy differentiation.
Not all data entry jobs are equal. Industry plays a massive role in salary.
Healthcare (medical records, insurance data)
Finance (banking, investment data processing)
Legal (case documentation, compliance records)
Typical salary: $45,000 – $70,000+
Why they pay more:
Higher accuracy requirements
Regulatory risk
Confidential data handling
Remote roles are highly competitive and often misunderstood.
$15 – $22 per hour (average)
Highly saturated market
Recruiter insight:
Remote roles often pay less because:
Global competition
Outsourcing pressure
Lower perceived switching cost for employers
Recruiter insight:
Hourly: $18 – $24 per hour
Annual: $37,000 – $50,000
Typical candidates:
1–3 years experience
60–75 WPM typing speed
Familiarity with Excel, CRMs, or ERP systems
Recruiter insight:
This is where salary starts to increase based on efficiency and error rate, not just experience.
Hourly: $24 – $32 per hour
Annual: $50,000 – $70,000+
Typical candidates:
High-speed typing (75–100+ WPM)
Industry-specific experience (medical, legal, finance)
Data validation, auditing, or reporting responsibilities
Recruiter insight:
At this level, you’re no longer “just entering data.” You’re trusted with data integrity, which directly impacts business decisions.
Retail
Basic admin outsourcing
Entry-level office support
Typical salary: $28,000 – $40,000
Why they pay less:
Lower complexity
High supply of candidates
Minimal specialization required
Employers pay more for:
Reliability
Availability
Reduced training risk
Hiring managers don’t pay based on job title. They pay based on risk, output, and trust.
Below 50 WPM → low-tier salary
60–75 WPM → mid-tier
80+ WPM → premium candidates
Accuracy matters more than speed at higher levels.
Candidates who demonstrate:
Data validation experience
Quality control processes
Audit corrections
…are often paid 20–30% more.
High-paying candidates know:
Excel (VLOOKUP, pivot tables)
CRM tools (Salesforce, HubSpot)
ERP systems (SAP, Oracle)
Recruiter insight:
If your resume only says “entered data,” your salary ceiling is low.
A healthcare data entry clerk is not equivalent to retail admin work.
Specialization increases:
Pay
Job security
Career progression
Most candidates stay stuck at $35K–$40K because they never reposition themselves.
Instead of:
Reposition as:
Learn:
Excel automation
Basic reporting
Data cleanup
This shifts you into hybrid roles:
Data analyst assistant
Operations coordinator
Salary jump: +$10K–$20K
Fastest path to higher salary:
Medical coding/data
Financial data processing
Legal documentation
Weak Example:
“Responsible for data entry tasks”
Good Example:
“Maintained and verified 1,200+ weekly records with zero compliance errors in a regulated healthcare environment”
If your resume lacks:
Volume
Speed
Accuracy
Recruiters assume low performance.
Not listing tools = perceived low skill level.
Here’s the reality of resume screening:
Recruiters scan for:
Typing speed
Accuracy indicators
Systems used
Volume handled
If these are missing, your salary potential drops before the interview.
Professional Summary
Skills Section
Experience Bullet Points
Candidate Name: Sarah Mitchell
Target Role: Senior Data Entry Clerk (Healthcare Industry)
Location: Chicago, IL
PROFESSIONAL SUMMARY
Detail-oriented data entry specialist with 5+ years of experience processing high-volume healthcare records. Known for maintaining 99.9% accuracy across 1,000+ daily entries while ensuring HIPAA compliance. Advanced proficiency in Excel and EMR systems.
CORE SKILLS
High-Speed Typing (85 WPM)
Data Validation & Quality Control
Microsoft Excel (Pivot Tables, VLOOKUP)
EMR Systems
HIPAA Compliance
Process Optimization
PROFESSIONAL EXPERIENCE
Senior Data Entry Clerk | Mercy Health Systems | Chicago, IL | 2021 – Present
Process and verify 1,200+ patient records daily with 99.9% accuracy
Reduced data discrepancies by 35% through validation protocols
Collaborate with billing and compliance teams to ensure regulatory adherence
Automated reporting tasks using Excel, reducing processing time by 20%
Data Entry Clerk | MedData Solutions | Chicago, IL | 2018 – 2021
Entered and maintained medical records for 500+ patients daily
Identified and corrected data inconsistencies across multiple systems
Maintained strict confidentiality and HIPAA standards
EDUCATION
Associate Degree in Business Administration
Short answer: Yes, but only if you evolve.
Automation is replacing basic roles, but increasing demand for:
Data accuracy specialists
Compliance-focused roles
Hybrid data + operations positions
Smart candidates transition into:
Data Analyst Assistant ($55K – $75K)
Operations Coordinator ($60K – $85K)
Compliance Specialist ($65K – $90K)
Low earners:
Focus on tasks
Use generic descriptions
Lack metrics
High earners:
Demonstrate impact
Show systems expertise
Position themselves as data specialists
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