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Data Cleaning Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

Texas City, TX · Remote

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 ...

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · Remote

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 ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance. * Data Modeling: Ability to design and implement data models. * Communication and Presentation: Strong ...

BTS

Data Scientist (Jr - Sr)

Columbia, MD · On-site

Responsibilities : • Produce data cleaning, basic analysis, and preparation for visualization • Develop dashboards and perform routine data quality checks • Perform data preprocessing, data ...

TecTammina

Data Scientist

Roseland, NJ

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

Pure Solutions LLC

Senior Data Analyst

Cupertino, CA · On-site

$106K - $133K/yr

Must Have Technical/Functional Skills • 7+ years of experience in Data Analysis • Ability to interpret and validate ML models (No model building required) • Experience with Data Cleaning and ...

TecTammina

Data Scientist

Roseland, NJ · On-site

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

BTS

Data Engineer (Jr - Sr)

Columbia, MD · On-site

$111K - $133K/yr

BTS is looking for a talented Data Engineer (Jr - Sr) to play a key role in producing data cleaning, basic analysis, and preparation for visualization. The Data Engineer will be responsible for ...

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All JobsData Cleaning Jobs

Data Cleaning information

How much is paid for data entry?

Data entry jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based rates or freelance pay rates, which can vary widely. Accurate data entry requires attention to detail and proficiency with tools like spreadsheets or data management software.

What does a data cleaner do?

A data cleaner is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This involves identifying and fixing errors, removing duplicates, and standardizing formats using tools like spreadsheets or data management software. Data cleaning is essential for reliable analysis and decision-making in data-related roles.

What is a Data Cleaning job?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in the Data Cleaning position, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

How hard is data cleaning?

Data cleaning is a fundamental task for data analysts and data scientists, involving identifying and correcting errors, inconsistencies, and missing values in datasets. The difficulty depends on the complexity and size of the data, as well as the tools used, such as Excel or specialized software like Python or R. Developing skills in data validation and using automation can make the process more efficient.

How to make $2000 a week working from home?

Data cleaning jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $20 to $50 per hour. To reach $2000 weekly, one would need to work approximately 40 to 100 hours at these rates, often requiring strong attention to detail, proficiency with data tools, and consistent effort. Building a client base or working for companies that offer high-volume projects can help achieve higher weekly earnings from home.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

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Data Cleaning jobs near you
Instructor - Data Cleaning , Excel & SQL

Instructor - Data Cleaning , Excel & SQL

Fullstack Academy

Remote

Part-time

Posted 27 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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