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Part Time Data Cleaning Jobs (NOW HIRING)

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah ... Familiarity with data cleaning, preprocessing, and statistical methods. * Ability to read ...

Rutgers University

Data Collector

New Brunswick, NJ

$38/hr

Enters data as trained by coordinators and assist in data cleaning and/or entering. * Participates ... Employee discount programs Position Status Part Time Working Hours 19 Daily Work Shift Day Work ...

Booz Allen Hamilton, Inc.

Data Scientist

Reston, VA · On-site

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

This position will be held accountable for the following responsibilities: • Collect, clean, and ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

You Have: * 3+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Suffolk, VA · On-site

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Stafford, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data pipelines, data cleaning, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data pipelines, data cleaning, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Cleaning information

What are the key skills and qualifications needed to thrive as a Part Time Data Cleaning professional, and why are they important?

To thrive as a Part Time Data Cleaning professional, you need strong attention to detail, basic data analysis skills, and familiarity with spreadsheet software, often supported by a high school diploma or equivalent. Proficiency with tools like Microsoft Excel, Google Sheets, and sometimes data cleaning platforms such as OpenRefine is typically required. Strong organizational skills, problem-solving abilities, and reliability help individuals excel in this role. These skills ensure that data is accurate, consistent, and ready for analysis, directly impacting the quality of business decisions.

What is the difference between Part Time Data Cleaning vs Part Time Data Entry?

AspectPart Time Data CleaningPart Time Data Entry
Required SkillsAttention to detail, basic data management, familiarity with cleaning toolsTyping speed, accuracy, basic computer skills
Work EnvironmentRemote or office, often involves reviewing and cleaning datasetsRemote or office, involves inputting data into systems
Common CertificationsNone typically required, but familiarity with Excel or data tools helpsNone typically required, basic computer proficiency needed

Part Time Data Cleaning focuses on reviewing and correcting datasets to ensure accuracy, while Part Time Data Entry involves inputting data into systems. Both roles often require basic computer skills and can be performed remotely or in an office setting. Data Cleaning emphasizes accuracy and attention to detail, whereas Data Entry emphasizes speed and typing skills.

What are some common challenges faced by part-time data cleaning professionals, and how can they be effectively managed?

Part-time data cleaning professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, working within tight deadlines, and understanding the context of unfamiliar datasets. To manage these challenges, it's important to develop strong attention to detail, communicate regularly with data owners or team members for clarifications, and utilize data cleaning tools or scripts to improve efficiency. Establishing a routine for documenting changes and maintaining clear records can also help ensure data quality and consistency, even when working limited hours.

What is part time data cleaning?

Part time data cleaning involves working on a flexible or reduced schedule to organize, correct, and prepare data for analysis. The main responsibilities include identifying and removing duplicate or inaccurate records, standardizing formats, and ensuring data completeness and reliability. This role is important for businesses and organizations that rely on accurate data for decision-making, but do not require a full-time data specialist. Part time data cleaners may use tools like Excel, Google Sheets, or specialized data cleaning software. The position can be remote or onsite, depending on the employer's needs.
More about Part Time Data Cleaning jobs
What cities are hiring for Part Time Data Cleaning jobs? Cities with the most Part Time Data Cleaning job openings:
What are the most commonly searched types of Data Cleaning jobs? The most popular types of Data Cleaning jobs are:
What states have the most Part Time Data Cleaning jobs? States with the most job openings for Part Time Data Cleaning jobs include:
What job categories do people searching Part Time Data Cleaning jobs look for? The top searched job categories for Part Time Data Cleaning jobs are:
Part Time Data Cleaning jobs near you
Infographic showing various Part Time Data Cleaning job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 85% In-person, and 15% Remote job distribution.
Instructor - Data Cleaning , Excel & SQL

Instructor - Data Cleaning , Excel & SQL

Fullstack Academy

Remote

Part-time

Re-posted 28 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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