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Excel Data Cleaning Jobs (NOW HIRING)

Cantor Fitzgerald Securities

Data Analyst

Houston, TX · On-site

Practical data cleaning and validation skills. * Advanced Excel skills, including pivot tables and formulas. * Interest or experience in energy markets, with LNG knowledge preferred. * Strong ...

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;

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How much do excel data cleaning jobs pay per year?

As of Jun 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 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.
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Excel Data Cleaning jobs near you
NewForce Entry Level Data Analyst (2026)

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 hours ago

Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities

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