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Excel Data Cleaning Jobs (NOW HIRING)

Data Collector

Toppenish, WA · On-site

$22.17/hr

... in data cleaning, management, and analysis. Perform other duties as directed by the Program ... of Excel. Ability to handle multiple projects at the same time in the context of a quality ...

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

Experience with Data Cleaning and Validation * Advanced proficiency in Excel * Good to have experience working with large Data sets * Good to have- Familiarity with data visualization tools Tableau ...

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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 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.
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:
Instructor - Data Cleaning , Excel & SQL

Instructor - Data Cleaning , Excel & SQL

Fullstack Academy

Remote

Part-time

Posted 18 days ago


Job description

About Us
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Position Overview
The Part-Time Instructor for Excel & SQL for Data Analysis plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world business and analytics applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Key Responsibilities
Deliver live online training sessions covering Excel and SQL concepts.
Cover core topics including:
Excel:
  • Data handling and formatting
  • Functions and formulas (lookup, logical, statistical, etc.)
  • Pivot Tables and Pivot Charts
  • Data cleaning and validation
  • Dashboard creation and reporting
  • Practical business reporting workflows
SQL:
  • Database fundamentals
  • Writing queries (SELECT, JOIN, GROUP BY, etc.)
  • Data filtering and aggregation
  • Subqueries and views
  • Query optimization basics
  • Practical business use cases and case studies

Conduct hands-on exercises and guide learners through project work.
Provide hands-on support for assignments, labs, and activities.
Mentor learners and resolve technical or conceptual queries.
Evaluate assignments, assessments, or mock sessions when required.
Ensure timely completion of curriculum and learning milestones.
Maintain session quality metrics and learner engagement.
Collaborate with internal teams on curriculum updates, learner feedback, and delivery planning.
Required Qualifications
  • Bachelor's degree in IT, Computer Science, Data Analytics, or related field
  • Strong hands-on experience with Advanced Excel and SQL
  • Industry experience in data analysis, reporting, or business intelligence roles
  • Prior experience delivering online or classroom training sessions preferred
  • Excellent communication, facilitation, and presentation skills
  • Ability to explain analytical concepts clearly to learners with varied backgrounds
Preferred Skills
  • Experience with Power BI, Tableau, or other BI/visualization tools
  • Knowledge of Python or data analytics workflows
  • Relevant certifications in Excel, SQL, analytics, or business intelligence
  • Experience creating dashboards and business reports
  • Familiarity with real-world data analysis use cases
Key Competencies
  • Strong instructional and facilitation skills
  • Ability to simplify technical concepts clearly
  • Professional virtual presence and delivery
  • Reliability and schedule discipline
  • Strong learner engagement and mentoring mindset
  • Problem-solving and analytical thinking skills
Student Support & Mentorship
Provide individualized student support during live sessions and scheduled office hours.
Maintain regular communication with students regarding progress, expectations, and milestones.
Respond to student and staff communications in a timely and professional manner.
Provide clear, constructive, and timely feedback on assignments and assessments.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Maintain accurate documentation of student performance and engagement.
Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
Support performance improvement plans when necessary.
Collaboration & Professional Conduct
Adhere to institutional policies and instructional team standards.
Foster an inclusive, respectful, and professional learning environment.
Serve as a role model and mentor for students.
Collaborate with instructional staff and program teams to improve the student learning experience.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)
Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)
Flexibility for evening availability is required.
Compensation
The anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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