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Excel Data Cleaning Jobs (NOW HIRING)

Addison Group

Data Entry Admin

Saint Albans, WV · On-site

$15 - $17/hr

Proficient in Microsoft Excel and Outlook * Preferred: CRM experience and familiarity with data cleaning/verification tools Addison Group is an Equal Opportunity Employer. Addison Group provides ...

Corvel

Data Analyst III

Irvine, CA · Hybrid

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data ...

Ripple Effect

$118K - $135K/yr

Proficiency in SQL and/or Excel for data analysis and reporting * Familiarity with data cleaning, validation, and transformation techniques * Basic understanding of databases and data structures

Corvel

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data ...

Nalley Consulting

Data Scientist - Sr

Charlottesville, VA · On-site

Python experience. * 7+ years of experience with data exploration, data cleaning, data analysis ... Experience with Excel MBA * An active CI polygraph ABOUT NALLEY CONSULTING Nalley Consulting is a ...

Apply Early

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

... cleaning and data coding. - Merge multiple datasets using advanced functions of Excel and other statistical applications. - Design, conduct, analyze and report on quantitative and qualitative ...

Miller Kaplan

Junior Data Analyst

Burbank, CA · On-site

$60K - $65K/yr

Support the development of ETL workflows that automate data cleaning, validation, and reconciliation to convert raw data into structured, reliable formats. * Apply basic VBA scripting within Excel to ...

New

YO IT Consulting

Data Analyst Excel - Remote

... clean, and validate datasets to ensure accuracy, consistency, and integrity. • Develop clear ... data analysis in a business environment using Microsoft Excel as the primary tool. • Exceptional ...

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All JobsExcel Data Cleaning Jobs

Excel Data Cleaning information

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$34K

$82.6K

$136K

How much do excel data cleaning jobs pay per year?

As of Jul 1, 2026, the average yearly pay for excel data cleaning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Excel Data Cleaning vs Data Analyst?

AspectExcel Data CleaningData Analyst
Required SkillsProficiency in Excel, data cleaning techniquesExcel, data analysis, visualization, statistical skills
Work EnvironmentPrimarily in Excel, small datasets, ad hoc tasksMultiple tools, larger datasets, reporting and insights
CertificationsExcel certifications, data cleaning coursesData analysis certifications (e.g., Microsoft, Coursera)
Industry UsageData preparation, cleaning for various rolesData interpretation, decision-making, reporting

Excel Data Cleaning focuses on preparing and cleaning data within Excel, often for immediate use. Data Analysts perform broader analysis, interpret data, and generate reports, often using multiple tools. While data cleaning is a key skill for analysts, the roles differ in scope and complexity.

What are some common challenges faced in Excel data cleaning roles, and how can they be effectively managed?

One common challenge in Excel data cleaning is dealing with inconsistent or incomplete data, such as missing values, duplicate entries, or formatting issues. Effectively managing these challenges involves using Excel tools like filters, conditional formatting, and the 'Remove Duplicates' feature, as well as formulas like IF, ISBLANK, and VLOOKUP to identify and correct discrepancies. Collaborating closely with team members or data stakeholders is also important to clarify data definitions and ensure accuracy. Staying organized and documenting your cleaning process helps maintain data integrity and supports transparency for future audits or team reviews.

What is Excel data cleaning?

Excel data cleaning refers to the process of identifying and correcting errors, inconsistencies, and inaccuracies in data sets using Microsoft Excel. This involves tasks such as removing duplicates, fixing formatting issues, handling missing values, and standardizing data for analysis or reporting. Effective data cleaning ensures that your data is reliable, accurate, and ready for further processing or analysis. It is a critical first step in any data management or data analysis project.

What are the key skills and qualifications needed to thrive as an Excel Data Cleaning Specialist, and why are they important?

To thrive as an Excel Data Cleaning Specialist, you need strong attention to detail, advanced knowledge of Excel functions (such as VLOOKUP, FILTER, and TEXT functions), and experience with data management. Familiarity with Excel add-ins, Power Query, and sometimes knowledge of VBA scripting or other data processing tools is highly valuable. Analytical thinking, problem-solving, and effective communication help you interpret data requirements and collaborate with stakeholders. These skills ensure data accuracy, streamline workflows, and support reliable decision-making based on clean, usable datasets.
More about Excel Data Cleaning jobs
What cities are hiring for Excel Data Cleaning jobs? Cities with the most Excel Data Cleaning job openings:
What states have the most Excel Data Cleaning jobs? States with the most job openings for Excel Data Cleaning jobs include:
What job categories do people searching Excel Data Cleaning jobs look for? The top searched job categories for Excel Data Cleaning jobs are:
Excel Data Cleaning jobs near you
Infographic showing various Excel Data Cleaning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Entry Student

Data Entry Student

University of New Mexico

Albuquerque, NM • On-site

$15/hr

Other

Posted 10 days ago

University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

70th of 544 rated colleges and universities

Job description

Requisition ID req36745
Working Title Data Entry Student
Pay $15.00 Hourly
Campus Health Sciences Center (HSC) - Albuquerque, NM
Department Psych Community Behavioral Health (451E)
Employment Type Student Employment
Student Type Work-Study
Status Non-Exempt
Background Check Required No
For Best Consideration Date
Position Summary

The Division of Community Behavioral Health (CBH), within the broader
Department of Psychiatry, is seeking a self-motivated individual to join our
dynamic multi-disciplinary team. The mission of CBH is to address behavioral
health care disparities through: health services research and evaluation;
training and workforce development; and through increasing access to quality
behavioral health services that are holistic, cost-effective, and provided with
respect to unique cultures and communities.
CBH is seeking a detail oriented, self-motivated advanced degree student Data
Assistant to serve as part of our program evaluation research team. This
position requires an organized individual who demonstrates initiative and
possesses excellent time management skills.

  • Under the supervision of CBH faculty and program
    leadership, the student will be primarily responsible for the following:
    Quantitative and qualitative data collection, data transcription, data cleaning, management and analysis (e.g., data cleaning, assisting with focus group facilitation, interview questionnaire creation, and preliminary data analyses)
  • Assist with project logistics and reporting (e.g., monthly, quarterly and annual reports)
  • Support training for community-based data collectors on qualitative data collection protocols and ongoing engagement with site staff and partners
  • Communication with community partners and stakeholders (e.g., video/phone calls, emails and creating grant-specific documentation)
  • Literature reviews and manuscript assistance (e.g., reviewing behavioral health literature, drafting and editing papers and other documents)
  • Other
    job-related duties as assigned

Minimum Qualifications
Preferred Qualifications

Prefer advanced degree in Psychology, Public Health, Social Work,
Sociology, Developmental Psychology, or behavioral health fields; and/or math
and statistical analysis or advanced skills required to perform research
involved, usually requiring practical and research experience.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Knowledge of MS Office applications, including
    Word, Excel, and PowerPoint
  • Knowledge of research procedures - qualitative
    and/or quantitative
  • Classes and/or experience relevant to
    behavioral health research
  • Coursework in Psychology, Public Health,
    Social Work, Sociology, Developmental Psychology, or behavioral health
    fields; and/or math and statistical analysis with client-level data sets
  • Experience working with, or specific knowledge
    of, populations children and young adults experiencing mental illness and
    intersecting risks associated with mental illness (e.g., adverse childhood
    experiences).
  • Additional skills or knowledge necessary
    for grant-funded program evaluation

Application Instructions

Only applications submitted through
the official UNMJobs site will be accepted. If you are viewing this job
advertisement on a 3rd party site, please
visit UNMJobs to submit an application.

To be considered, applicant must supply completed application, resume and cover letter addressing qualifications.

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

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