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

Varsity Tutors

Business Analytics Tutor

Cooper City, FL · Remote

$18 - $40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

Varsity Tutors

Business Analytics Tutor

Sunrise, FL · Remote

$18 - $40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

Varsity Tutors

Business Analytics Tutor

Miramar, FL · Remote

$18 - $40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

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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 Aug 23, 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 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.

What are popular job titles related to Excel Data Cleaning jobs in Boca Raton, FL?

For Excel Data Cleaning jobs in Boca Raton, FL, the most frequently searched job titles are:

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.

Entry Level Technical Seller Support

Max Retail

West Palm Beach, FL • On-site

Full-time

Posted 5 days ago

Job description

****THIS IS AN IN-OFFICE POSITION IN WEST PALM BEACH, FL****
Max Retail is a technology platform enabling independent retailers and brands to sell their excess inventory online effortlessly. Our mission is to become the largest supply chain that holds no inventory, providing a seamless connection between supply and global demand. We empower our partners with the tools they need to thrive in an increasingly competitive market.
What You'll Do
This is a hands-on, technical support role and a strong entry point into retail tech. You'll help sellers get their inventory listed, synced, and sold, and you'll spend a meaningful part of your week in spreadsheets: comparing seller data against our database, spotting discrepancies, and preparing the data files that fix them. You do need to be the kind of person who, when a number looks wrong, you want to know why.
Key Responsibilities
Seller Support and Troubleshooting
  • Help sellers use the platform day to day: listing products, approving orders, resolving account questions
  • Own a queue of seller tickets in HubSpot, working through common issues independently once trained
  • Work through listing problems such as missing data, template errors, duplicates, and sync delays, with support from senior teammates on the harder cases
  • Learn the basics of our POS and eComm integrations (Shopify, Square, Lightspeed, RICS, etc.) and how connection errors, sync delays, and SKU conflicts show up
  • Recognize when an issue is beyond your current scope and hand it to a senior teammate with clear notes on what you've already checked
Data Work in Spreadsheets
  • Compare inventory and pricing data across systems to isolate where a discrepancy started
  • Use formulas such as XLOOKUP, COUNTIFS, and SUMIFS to narrow down problems.
  • Help build structured CSV files for bulk corrections
  • This is a daily, core part of the job, not a nice-to-have
Learning the Platform
  • Build strong working knowledge of seller tools, features, policies, and how our systems fit together
  • Stay current on platform updates, new seller features, and known issues
  • Draft and update help documentation for the scenarios you resolve most often, for both sellers and internal teams
  • Flag recurring seller pain points to your manager so they reach the product team
Proactive Seller Outreach
  • Reach out to sellers hitting listing errors or order processing problems before they contact us
  • Walk sellers through new platform features and integration setup
  • Notice patterns in seller mistakes and share preventive guidance
Quality and Metrics
  • Meet response time and resolution time targets
  • Accurately categorize and track support tickets
  • Keep your documentation current
Your First 90 Days
Days 1-30: Learn the platform, our internal admin tools, and the database. Shadow senior support on live cases. Start handling straightforward seller questions with review.
Days 31-60: Own a ticket queue independently for common issues. Begin diagnosing data problems in spreadsheets with guidance. Publish your first help doc.
Days 61-90: Resolve most routine listing, sync, and pricing issues on your own. Write clean handoffs when escalating. Start supporting sellers through integration setup.
By month 4: Independently diagnose and resolve most seller data issues using spreadsheets and internal tools. Contribute at least one process or documentation improvement based on what you've seen in the queue. Train sellers on the platform at scale.
Tools you'll use
  • Google Sheets & Excel
  • HubSpot (tickets/inbox), Aircall (voice), Google Suite (meetings, case tracking, exports, SOPs).
  • Backend database (users, contacts, retailer accounts, inventory listings, etc.)
  • Internal admin tools (MR Admin) and basic log/screenshots capture.
Nice to Have (Not Required)
  • Experience with HubSpot or a similar CRM or ticketing system
  • Familiarity with Shopify, Square, or Lightspeed
  • Exposure to SQL, BI tools, or reading basic error logs
  • Retail or boutique experience of any kind, including working in a store
Who You Are
  • Naturally curious about data. When something looks off, your instinct is to compare sources and follow the trail rather than accept it
  • Comfortable in Google Sheets or Excel. You can write basic formulas, filter and sort, and work across multiple tabs. You're ready to get much better at this
  • 0-2 years of experience. Customer support, retail, e-commerce, or operations experience is a plus. Recent grads and career changers are welcome
  • Clear written and verbal communication. You can explain a technical problem to a boutique owner without jargon, and to an engineer without hand-waving
  • High ownership. You follow up, close loops, and write things down
  • Calm under pressure. Sellers reach out when they're frustrated. You stay structured
  • Startup mindset. Bias to action, comfort with changing priorities, strong documentation habits
  • Standard business hours (M-F 10am-6pm) with occasional early or late coverage during peak periods

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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