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Remote Data Cleaning Jobs in Rosemount, MN (NOW HIRING)

Pace

Chemical Regulatory Analyst (Remote)

Minneapolis, MN · On-site +1

$23 - $25/hr

Regulatory data clean up and migration support * Author safety data sheets * Other hazard communication and regulatory compliance projects as needed What you'll bring: * Bachelor's degree in Biology ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier ... Experience with ORMs and data access technologies such as Entity Framework or LINQ. * Experience ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier ... Experience with ORMs and data access technologies such as Entity Framework or LINQ. * Experience ...

Ocean Spray

Environmental Engineer

Minneapolis, MN · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

VOYAGER ACCESS INC

Sales Representative

Minneapolis, MN · Remote

$60K - $100K/yr

Keep Pipedrive updated, accurate, and current at all times -- clean data is essential * Hand off ... Remote with regular field activity -- expected in-market with customers and prospects frequently

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Remote Data Cleaning information

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are the key skills and qualifications needed to thrive as a remote data cleaning specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What job categories do people searching Remote Data Cleaning jobs in Rosemount, MN look for?

The top searched job categories for Remote Data Cleaning jobs in Rosemount, MN are:

Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Rosemount, MN as of August 2026, with employment types broken down into 49% Full Time, 13% Part Time, and 38% Contract. Highlights an 100% Remote job distribution.

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Minneapolis, MN • Remote

Resource Point LLC
IT Services • 51 - 200 employees
Learn more about Resource Point LLCexternal

Contractor

Re-posted 3 days ago

Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.