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Data Cleaning Jobs (NOW HIRING)

Data Scientist

Virginia, MN · On-site

$90 - $130/hr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

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 ...

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 ...

Extract, clean, and validate data from multiple sources to ensure accuracy and consistency. * Build and maintain reports and dashboards to support business and operational decisions. * Write and ...

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Data Cleaning information

What is a data cleaning?

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 data cleaning, 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.

Can Chatgpt do data cleaning?

Data cleaning is a task performed by data analysts and data scientists, often using tools like Excel, Python, or specialized software. ChatGPT can assist by providing guidance, code snippets, or suggestions for cleaning data, but it cannot directly perform data cleaning tasks itself. Human oversight and technical skills are required to execute data cleaning processes effectively.

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.

More about Data Cleaning jobs

What cities are hiring for Data Cleaning jobs?

Cities with the most 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 Data Cleaning jobs?

States with the most job openings for Data Cleaning jobs include:

Infographic showing various Data Cleaning job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution.

Data Scientist

Jobtailor

Virginia, MN • On-site

$90 - $130/hr

Other

Posted 11 days ago


Job description

Responsibilities
  • Help turn complex data sets into useful information to solve global challenges
  • Work closely with clients to understand their questions and needs
  • Dig into data-rich environments to find pieces of their information puzzle
  • Develop algorithms and systems
  • Use the right combination of tools and frameworks to turn disparate data points into objective answers
Requirements
  • Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining
  • Experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • TS/SCI clearance
  • Bachelor's degree
Hard Skills
  • data exploration
  • data cleaning
  • data analysis
  • data visualization
  • data science
  • data mining
  • Python
  • R
  • SQL
  • statistical analysis
Soft Skills
  • client collaboration
  • problem-solving
  • analytical thinking
Certifications & Qualifications
  • TS/SCI clearance
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