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Remote Data Remediation Analyst Jobs in Normal, IL

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Remote Data Remediation Analyst information

See Normal, IL salary details

$33.2K

$80.8K

$133K

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

As of Jun 15, 2026, the average yearly pay for remote data remediation analyst in Normal, IL is $80,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 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, and why are they important?

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 job categories do people searching Remote Data Remediation Analyst jobs in Normal, IL look for? The top searched job categories for Remote Data Remediation Analyst jobs in Normal, IL are:
What cities near Normal, IL are hiring for Remote Data Remediation Analyst jobs? Cities near Normal, IL with the most Remote Data Remediation Analyst job openings:
Remote Data Remediation Analyst jobs near you
Infographic showing various Remote Data Remediation Analyst job openings in Normal, IL as of June 2026, with employment types broken down into 1% As Needed, 50% Full Time, 43% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $80,794 per year, or $38.8 per hour.
Remote Lead Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Lead Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Morton, IL • Remote

$50 - $60/hr

Other

Posted 16 days ago

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Apply