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Remote Data Remediation Analyst Jobs in Springfield, IL

Epic Analyst II-HIM/Identity

Springfield, IL · On-site +1

$34.21 - $51.31/hr

Under general supervision, assists in the gathering and analyzing of data, development, support and ... Corporate Services o Schedule: Full Time, 40 hrs/wk o Location: 100% remote, accepting applicants ...

New

Epic Analyst I-Lumens

Springfield, IL · On-site +1

$31.03 - $46.54/hr

Under direct supervision, assists in the gathering and analyzing of data, development, support and ... Corporate Services o Schedule: Full Time, 40 hrs/wk o Location: 100% remote, accepting applicants ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Biostatistician

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Showing results 21-40

Remote Data Remediation Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do remote data remediation analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data remediation analyst in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What is a remote data remediation analyst?

A Remote Data Remediation Analyst is a professional who works from a remote location to identify, correct, and manage data inconsistencies or errors within an organization’s databases or information systems. Their main responsibilities include assessing data quality, ensuring compliance with data governance standards, and executing data cleanup projects. They often collaborate with IT, data management, and compliance teams to ensure that data is accurate, secure, and usable for business operations. This role is crucial for organizations aiming to maintain the integrity and reliability of their data assets.

What are the key skills and qualifications needed to thrive as a remote data remediation analyst?

To thrive as a Remote Data Remediation Analyst, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with data remediation tools, databases (like SQL), and data governance platforms, as well as certifications such as Certified Data Management Professional (CDMP), is highly valuable. Excellent problem-solving abilities, time management, and clear communication are crucial soft skills for identifying data issues and collaborating across teams remotely. These competencies ensure accurate data correction, regulatory compliance, and efficient remote collaboration to maintain organizational data integrity.

What are some common challenges faced by remote data remediation analysts, and how can they be effectively managed?

Remote Data Remediation Analysts often encounter challenges such as managing large volumes of data with inconsistencies, ensuring data accuracy across multiple systems, and maintaining effective communication with cross-functional teams. To manage these challenges, it's important to establish clear documentation practices, leverage data validation tools, and participate in regular virtual meetings to stay aligned with stakeholders. Being proactive about asking clarifying questions and following established data governance protocols also helps ensure successful remediation outcomes.

What is the difference between Remote Data Remediation Analyst vs Remote Data Quality Specialist?

AspectRemote Data Remediation AnalystRemote Data Quality Specialist
CredentialsData analysis certifications, SQL, data management skillsData analysis certifications, SQL, data management skills
Work EnvironmentRemote, often within finance, healthcare, or tech industriesRemote, typically in data-driven organizations across various sectors
Employer & Industry UsageFinancial institutions, healthcare providers, tech companiesRetail, finance, healthcare, and tech sectors

The Remote Data Remediation Analyst and Remote Data Quality Specialist roles share similar skills and work environments, focusing on data accuracy and integrity. However, the analyst primarily focuses on identifying and fixing data issues, while the specialist emphasizes ongoing data quality monitoring and improvement strategies.

What are popular job titles related to Remote Data Remediation Analyst jobs in Springfield, IL?

For Remote Data Remediation Analyst jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Remediation Analyst jobs in Springfield, IL look for?

The top searched job categories for Remote Data Remediation Analyst jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Remote Data Remediation Analyst jobs?

Cities near Springfield, IL with the most Remote Data Remediation Analyst job openings:

Infographic showing various Remote Data Remediation Analyst job openings in Springfield, IL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $81,905 per year, or $39.4 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Springfield, IL • Remote

$70 - $90/hr

Part-time

Posted 18 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.