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Remote Data Cleaning Jobs in Michigan (NOW HIRING)

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

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

What are popular job titles related to Remote Data Cleaning jobs in Michigan?

For Remote Data Cleaning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Cleaning jobs in Michigan look for?

The top searched job categories for Remote Data Cleaning jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Cleaning jobs?

Cities in Michigan with the most Remote Data Cleaning job openings:

Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% Remote job distribution.

Digital Manufacturing Analyst (Junior / Entry-Level)

Aquent

Royal Oak, MI • On-site, Remote

$30 - $40/hr

Temporary

Posted 5 days ago

Job description

Placement Type:
Temporary
Salary:
$30-40 Hourly
Start Date:
ASAP
Are you a self-described "data nerd" who genuinely enjoys digging into raw data, finding patterns, and making processes cleaner and more consistent?
Our Digital Manufacturing Intelligence team is seeking a Junior Digital Manufacturing Analyst to support ongoing enterprise data analytics, dashboard scaling, and process monitoring across multiple continuous manufacturing facilities. This is a 100% remote, long-term contract role (20-30 hours per week) designed for an entry-level or early-career technical professional (0-2 years of experience) who thrives on solving real-world operational problems through data.
Key Highlights of the Role:
  • Role Type: Ongoing Temporary / Contract Staff Augmentation (20-30 hours/week)
  • Location: 100% Remote (Primary facilities located across the US)
  • Work Authorization: Must be a US Citizen or Green Card Holder; No C2C
  • Core Focus: Building and standardizing enterprise dashboards (Power BI, Python), auditing plant data signals, and supporting Statistical Process Control (SPC) charting.
  • Professional Growth: Hands-on experience working directly with plant engineers and digital transformation leaders, plus full company-sponsored training on Seeq (industrial analytics platform).
Key Responsibilities:
  • Dashboard Development & Standardization: Update, enhance, and standardize manufacturing dashboards across multiple plant locations to ensure consistent visual layouts, units, and metrics.
  • Manufacturing Data Auditing & Analysis: Gather, clean, and audit plant production and equipment signal data across databases to identify gaps, trends, and anomalies.
  • Process Performance Monitoring: Build and maintain Statistical Process Control (SPC) charts and monitoring visualizations to support process control and root cause investigations.
  • Cross-Functional Collaboration: Partner with plant engineers, reliability specialists, and remote data teams to refine metrics, present findings, and continuously improve tools.
What We're Looking For:
  • Education: Recent graduate or currently pursuing a degree in Engineering (Chemical, Mechanical, Electrical, Mechatronics, Reliability), Computer Science, Engineering Technology, or a related technical discipline.
  • Technical Skills: Familiarity or experience with data analysis and BI tools (Python, Power BI, SQL, or similar platforms). Full training provided on Seeq.
  • Process Understanding: Foundational awareness of manufacturing process data, signals (pressure, temperature, current), and basic statistical process control concepts.
  • Mindset: Highly detail-oriented (focus on consistency, formatting, and accuracy), self-motivated for remote work, and naturally curious about how manufacturing systems work.
Preferred Qualifications
  • Exposure to industrial environments, SCADA, MES systems, or process control systems.
  • Experience in glass, building products, or continuous process manufacturing.

#LI-LDR
Client Description
Owens Corning is an American company that develops and produces insulation, roofing, and fiberglass composites and related materials and products. It is the world's largest manufacturer of fiberglass composites. It was formed in 1935 as a partnership between two major American glassworks, Corning Glass Works and Owens-Illinois

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