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Excel Data Cleaning Jobs in Boca Raton, FL (NOW HIRING)

Varsity Tutors

Data Analysis Tutor

Sunrise, FL · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ...

Varsity Tutors

Data Analysis Tutor

Cooper City, FL · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ...

Varsity Tutors

Data Analysis Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ...

Varsity Tutors

Data Analysis Tutor

Miramar, FL · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ...

VGI

Technician I-Lab

West Palm Beach, FL

$18.50 - $24.50/hr

Calibrate, maintain, and clean laboratory testing equipment * Ensure the laboratory is organized ... Good computer skills (excel data entry) and general math skills including percentages and ...

Aquent

HR Payroll Specialist

Plantation, FL · On-site

$20 - $22/hr

Complete case management software tickets (ServiceNow) * Assist on data clean-up projects to ... Proficient with Microsoft Office, especially Excel * Strong attention to detail with excellent ...

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Showing results 1-20

All JobsExcel Data Cleaning JobsExcel Data Cleaning Jobs in Boca Raton, FL

Excel Data Cleaning information

See Boca Raton, FL salary details

$32.3K

$78.4K

$129.1K

How much do excel data cleaning jobs pay per year?

As of Jul 5, 2026, the average yearly pay for excel data cleaning in Boca Raton, FL is $78,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 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.
What job categories do people searching Excel Data Cleaning jobs in Boca Raton, FL look for? The top searched job categories for Excel Data Cleaning jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Excel Data Cleaning jobs? Cities near Boca Raton, FL with the most Excel Data Cleaning job openings:
Excel Data Cleaning jobs near you
Infographic showing various Excel Data Cleaning job openings in Boca Raton, FL as of June 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% 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 $78,423 per year, or $37.7 per hour.
Junior Operational Excellence Engineer

Junior Operational Excellence Engineer

AVEVA DRUG DELIVERY SYSTEMS INC

Miramar, FL • On-site

Full-time

Posted 16 days ago

Job description

The Junior Operational Excellence will support our mission to drive efficiency and quality across the organization. Working alongside continuous improvement (CI) leaders, the candidate will support continuous improvement initiatives by analyzing operational data and assisting in the execution of improvement projects across manufacturing, quality, engineering and supply chain operations. The role focuses on monitoring operational performance metrics, developing dashboards and visualization tools, and identifying opportunities to improve productivity, quality, and operational efficiency.

This is an immersive, high-impact role designed for a motivated individual.

Job Responsibilities
  • Collect, analyze, and interpret operational data from manufacturing systems, enterprise systems
  • Assist in developing and maintaining dashboards and visualization tools using platforms such as Microsoft Power BI, Tableau, or advanced Excel
  • Support Operational Excellence and continuous improvement initiatives focused on improving productivity, yield, throughput, and equipment uptime.
  • Participate in Kaizen events and rapid improvement workshops to design better "future-state" processes.
  • Coordinate and track timelines for improvement initiatives, ensuring deliverables are met
  • Collaborate with manufacturing, engineering, quality, and supply chain teams to support data-driven decision making and operational improvements.
  • Help develop and document training materials to ensure consistency across teams.

Job Requirements

  • Analytical and problem-solving skills with the ability to interpret operational data
  • Basic understanding of manufacturing performance metrics such as yield and productivity.
  • Strong skills in Microsoft Excel (data cleaning, formulas) and PowerPoint; familiarity with process mapping tools like Visio or data visualization tools is often a plus.
  • Strong attention to detail with an interest in data validation, data integrity, and reporting accuracy.
  • A basic understanding of Lean manufacturing, Six Sigma (PDCA, DMAIC), and 5S principles.
  • Candidate should be flexible to work mid and night shifts on occasion based on project needs. 

Education

  • Preferred Bachelor’s degree in one of the following fields or related technical discipline
      • Industrial/ Mechanical Engineering
      • Operations/ Manufacturing Engineering
      • Data Analytics

Experience

  • 0 to 1 years of experience in Operations Analytics, Industrial Engineering, Manufacturing Operations, or Process Improvement.
  • Experience with operational data analysis, dashboard development, or continuous improvement initiatives is preferred.

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