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Data Cleaning Jobs in Minnesota (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 ...

Manages data entry, data cleaning, data deliverables, and other data management activities. Oversees the development of CRFs, edit check specifications, and additional data collection requirements ...

Contribute to data cleaning and data snapshot efforts for regulatory submissions and other business needs as requested by the Clinical Study Team through the following: * Generate database snapshot ...

Contribute to data cleaning and data snapshot efforts for regulatory submissions and other business needs as requested by the Clinical Study Team through the following: * Generate database snapshot ...

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Direct all data cleaning activity related to assigned studies. Education Level: * Bachelors Degree (± 16 years) * Biology, Health Sciences, Mathematics, Computer Science, or equivalent. Experience ...

MN

$45 - $47/hr

Direct all data cleaning activity related to assigned studies. Education Level: Bachelors Degree ( 16 years) Biology, Health Sciences, Mathematics, Computer Science, or equivalent. Experience Details ...

Direct all data cleaning activity related to assigned studies. Skills: * Clinical Science. * Biometrics. * Safety. * Organizational Leadership. Benefits Our Benefits Include: * Medical, Dental, and ...

Clinical Data Manager

Maple Grove, MN · On-site

$41.42 - $46.42/hr

Direct all data cleaning activity related to assigned studies. Skills: Clinical Science. Biometrics. Safety. Organizational Leadership. Benefits Our Benefits Include: Medical, Dental, and Vision ...

Data Analysis Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Analysis Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Continually optimize data cleaning and anomaly detection processes. Help manage and advance our GCP infrastructure, particularly with BigQuery and GCP integrations. Own data quality and governance ...

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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.

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.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

What are the most commonly searched types of Data Cleaning jobs in Minnesota?

The most popular types of Data Cleaning jobs in Minnesota are:

What cities in Minnesota are hiring for Data Cleaning jobs?

Cities in Minnesota with the most Data Cleaning job openings:

Infographic showing various Data Cleaning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Jobtailor

Virginia, MN • On-site

$90 - $130/hr

Other

Posted 19 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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