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Excel Data Cleaning Jobs (NOW HIRING)

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Project Controls Manager - Data Centers

Dallas, TX · Hybrid

$51.25 - $69.25/hr

Advanced Excel / data management skills preferred * Ability to identify process gaps and implement ... clean energy solutions. With a multi-billion-dollar, near-term development pipeline in the U.S ...

4P Consulting Inc

Data Analyst II 4P/703

Birmingham, AL · On-site

Key SkillsPython, Data Analysis, Troubleshooting, Data Cleaning, Data Validation, Reporting, Database Maintenance, Statistical Analysis, Complex Systems, SQL, Excel, Dashboards, Data Quality, Problem ...

4P Consulting Inc

Data Analyst II 4P/703

Birmingham, AL · On-site

Key SkillsPython, Data Analysis, Troubleshooting, Data Cleaning, Data Validation, Reporting, Database Maintenance, Statistical Analysis, Complex Systems, SQL, Excel, Dashboards, Data Quality, Problem ...

Changeis

Data Analyst

Experience with tools like SQL, Excel, Power BI, or Tableau for querying, analyzing, and ... Understanding of data governance, data cleaning, and ETL processes. * Communication amp;

Stock Group Analytics

Data Analysis SME

Washington, DC · On-site

$120 - $180/hr

Implement data cleaning, transformation, and validation processes to ensure data accuracy * Develop ... Transition existing reports and dashboards from legacy tools (Tableau, Excel) to Power BI * Enable ...

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 ...

Stock Group Analytics

$120 - $180/hr

Implement data cleaning, transformation, and validation processes to ensure data accuracy * Develop ... Transition existing reports and dashboards from legacy tools (Tableau, Excel) to Power BI * Enable ...

Vultus Inc

... Excel (Pivot Tables, Power Query, Advanced Formulas) Data Analysis and Reporting Data Cleaning, Validation, and Transformation Statistical Analysis Business Intelligence (BI) Concepts Data Modelling ...

New

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 ...

CorVel Career Site

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 ...

CorVel Corporation

$95 - $120/hr

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

CorVel Corporation

Data Analyst III

Irvine, CA · On-site

$95 - $120/hr

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

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Excel Data Cleaning information

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$34K

$82.6K

$136K

How much do excel data cleaning jobs pay per year?

As of Sep 7, 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 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.

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 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.

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What cities are hiring for Excel Data Cleaning jobs?

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What states have the most Excel Data Cleaning jobs?

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Excel Data Cleaning jobs near you
Infographic showing various Excel Data Cleaning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analytics Associate (Fall 2026 Internship) - HR/OD

Retensa

New York, NY • On-site

$500 - $1.0K/wk

Part-time, Internship

Re-posted 2 days ago

Key responsibilities

  • Engage in HR Metric Analytics, HR Trend Analysis, and organizational assessments to support talent management initiatives.

  • Contribute to client-facing projects involving data analysis, visualization, and predictive analytics related to organizational development.

  • Leverage knowledge of data analytics tools and techniques to assist in strategic activities within the Talent Management Team.

Job description

Data Analytics Associate: Fall 2026
Company: Retensa Industry: AI Software, Management Consulting
Department: Talent Management Service Contact: careers@retensa.com
Position Title: Data Analytics Associate Phone: (212) 545-1280
Who We Are: 68 out of every 100 employees don't like their jobs. That's a crazy number. But there is hope. Retensa helps to improve employees' lives at work. Today, people use our technology in 59 countries and 22 languages. We think it can be even more. You could be a part of that. There is a .2% chance that we will change the world (which may not seem like much...but what are the chances at your current job?). Along the way, if you work at Retensa, we want you to value what you do. So here is what we want from the person to do this role. If this sounds like you, apply to discuss how we can make a difference together.
What Our Clients Say: Retensa Reviews - Company Details, Pricing & Features | G2
What We Believe: Retensa is focused on our vision: "To create workplaces where every employee is engaged by what they do and inspired by who they work for". As a member of our AI Technology team, you'll be at the forefront of global software, predictive AI, and Talent Management. And by contributing toward the vision, your effort can help millions of employees in thousands of companies enjoy meaningful and fulfilling work.
What You Will Do: Retensa internships are a way we collaborate with future leaders; giving you the opportunity to grow and enhance your career. At Retensa, you will be at the forefront of Management Consulting, Cloud-Based Technology, Predictive Analytics, and Organizational Development Initiatives. Your efforts will help up to 1 billion employees in 1 million companies worldwide. You will gain real world experience leveraging your knowledge as part of our Talent Management Team, engaging in strategic cross-functional activities such as Organizational Assessments, HR Metric Analytics, HR Trend Analysis, and/or HRIS Management. Our structured program offers client-facing projects to strengthen your leadership and team-building skills. This is a stipend internship for approximately 14 weeks. High-performing individuals have received a job offer for a paid position post-completion of their internship.
Qualifications:This is a challenging internship for highly motivated master's candidates in a related field (Data Science/Data Analytics and Visualization/Computer Science). The ideal candidate will be hard-working, enthusiastic, and resourceful; with good time management skills in a fast-paced environment. Applicants must maintain a 3.0+ GPA and be self-directive, team-oriented, with projects proven to illustrate attention to detail.
Applicants must have one direct experience in HR/OD, or IO/Psychology, or data analytics role; hold a 3.0+ GPA and be proficient in any 3 of the following skills.
  • Advanced Excel (Data Cleaning, Structure, etc.)
  • 1 Year Experience in Applied Statistics (R, SPSS, SAAS, or similar)
  • 1 Year Experience in Data Analytics (Python, SQL)
  • 1 Year Experience in Machine Learning (Predictive Modeling, Natural Language Processing)
  • 1 Year Experience in Data Visualization

Time/Compensation: 24-32 Hours per week, 3-4 Days per week (part-time). A stipend of $500-$1000 will be provided upon completion of the internship.
Location: Remote,EST +/- 3 hours
To apply, please submit your application to Retensa Careers page
This is a remote stipend internship for approximately sixteen weeks. High-performing individuals have received a job offer for a paid position post-completion of their internship.
*Due to the high volume of applicants, we may only be able to contact qualified candidates.*

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