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Excel Data Cleaning Jobs (NOW HIRING)

Proficiency in Excel * Experience with Tableau or Power BI * Understanding of data validation ... Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics ...

Proficiency in Excel * Experience with Tableau or Power BI * Understanding of data validation ... Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics ...

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

... Cleaning Clean and sanitize data by filtering reviewing reports and correcting code problems ... Excel to present findings to stakeholders Collaboration Work with management data engineers and ...

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Key Responsibilities MRP & Production Data Clean-Up: * Audit and update Manufacturing Resource ... and Microsoft Excel. * Data Integrity: Exceptional attention to detail with proven experience ...

New

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 ...

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;

Project Controls Manager - Data Centers

Dallas, TX · On-site +1

$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 ...

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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 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:
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.

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Posted 5 days ago


Job description

<>Data Analyst Retail & E-Commerce (2 3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail and ecommerce platforms. This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early-career professionals building analytics expertise.

Key Responsibilities
  • Analyze retail and ecommerce datasets
  • Build dashboards using Tableau or Power BI
  • Write SQL queries for data analysis
  • Perform data validation and quality checks
  • Support KPI and trend reporting
  • Assist with ad-hoc analysis
  • Document metrics and reports
Required Qualifications
  • 2 3 years of experience in data analysis or reporting
  • Strong SQL skills
  • Proficiency in Excel
  • Experience with Tableau or Power BI
  • Understanding of data validation concepts
  • Exposure to retail or ecommerce data
  • Strong analytical skills

Skills

Retail Analytics, E-Commerce Data Analysis, Sales Data Analysis, Customer Behavior Analysis, Transaction Data, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Formulas), Tableau, Power BI, Data Visualization, Dashboard Development, KPI Reporting, Conversion Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication