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Remote Data Remediation Analyst Jobs in Addison, IL

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

POSITION SUMMARY: The Data Analyst is responsible for delivering highly visible inbound and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$55K - $60K/yr

POSITION SUMMARY: The Data Analyst is responsible for delivering highly visible inbound and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

blueStone

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Must be able to work with the remote based BI team, and offshore development team, staying closely ... Data Analyst details * Data modeler/analyst must have strong knowledge of star schema and snow ...

Allied

Senior IT Data Analyst

Chicago, IL · On-site +1

$95K - $105K/yr

The Senior IT Data Analyst will be responsible for various aspects of data analytics, such as ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Allied Benefit Systems

Senior IT Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

The Senior IT Data Analyst will be responsible for various aspects of data analytics, such as ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

IQVIA

Data Analytics Analyst II

Chicago, IL · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

World's Finest Chocolate

Sales Data Analyst

Chicago, IL · Remote

$105K - $115K/hr

POSITION OVERVIEW World's Finest Chocolate is seeking a Sales Data Analyst to support our North ... Vice President of Strategy LOCATION This is a remote role. Travel to World's Finest Chocolate ...

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All JobsData Remediation Analyst JobsRemote Data Remediation Analyst JobsRemote Data Remediation Analyst Jobs in Addison, IL

Remote Data Remediation Analyst information

See Addison, IL salary details

$34.1K

$82.8K

$136.3K

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

As of Jul 26, 2026, the average yearly pay for remote data remediation analyst in Addison, IL is $82,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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 Addison, IL look for? The top searched job categories for Remote Data Remediation Analyst jobs in Addison, IL are:
What cities near Addison, IL are hiring for Remote Data Remediation Analyst jobs? Cities near Addison, IL with the most Remote Data Remediation Analyst job openings:
Remote Data Remediation Analyst jobs near you
Remote Data / Persistence Modernization Engineer

Remote Data / Persistence Modernization Engineer

3B Staffing LLC

West Chicago, IL • Remote

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data / Persistence Modernization Engineer Primary Location: Primarily Remote, Candidates Ideally Reside in Chicagoland Area Position Type: Contract, 6 months with possible extension Overview Looking for a Data / Persistence Modernization Engineer to join our client's cloud modernization initiative. This senior-level consultant will assess stateful application services, data platforms, caching technologies, search solutions, analytics stores, and data-migration patterns associated with both recurring modernization efforts and newly acquired environments. The engineer will determine whether material data dependencies can be migrated directly, bridged temporarily, retained through a controlled exception, replaced with a target-platform service, or require application data-layer refactoring. This role combines architecture assessment, hands-on technical validation, migration planning, risk analysis, and engineering-effort estimation. What You Bring to the Role. (Ideal Experience)
  • Senior-level experience modernizing application data layers and distributed persistence architectures.
  • Deep experience with NoSQL and document-oriented platforms, including:
    • Amazon DynamoDB
    • Amazon DocumentDB
    • MongoDB and MongoDB Atlas
  • Working knowledge of:
    • PostgreSQL and PostgreSQL-based managed services
    • Amazon RDS
    • Google AlloyDB
    • Redis and Amazon ElastiCache
    • OpenSearch
    • Snowflake
    • Amazon Redshift
  • Strong understanding of data-access patterns, schema design, indexing, and partitioning strategies.
  • Experience evaluating consistency models, transaction semantics, and data-model coupling.
  • Knowledge of cache-versus-state classification and the operational implications of each.
  • Hands-on experience with:
    • Change Data Capture
    • Data backfills
    • Dual-write patterns
    • Shadow reads
    • Data reconciliation
    • Tenant isolation
    • Data cutover and rollback strategies
  • Ability to assess application changes required when a managed cloud service cannot be directly reproduced on the target platform.
  • Strong written communication skills with the ability to produce concise, actionable engineering assessments.
  • Experience estimating technical complexity, platform dependencies, migration risks, and future engineering effort.
What You'll Do. (Skills Used in this Position)
  • Assess recurring and acquisition-specific risks related to stateful application services and data platforms.
  • Analyze data models, schemas, indexes, partitions, access patterns, consistency requirements, and transaction behavior.
  • Evaluate dependencies involving databases, caches, search platforms, analytics stores, and managed cloud data services.
  • Determine whether each dependency is:
    • Portable to the target environment
    • Suitable for temporary bridging
    • Eligible for a controlled exception
    • A candidate for replacement
    • Likely to require application refactoring
  • Evaluate dual-running, reconciliation, backfill, and rollback options.
  • Identify required target-platform services, configurations, and technical prerequisites.
  • Perform bounded, non-production technical validation when additional evidence is needed.
  • Assess tenant isolation, data security, migration sequencing, and service availability risks.
  • Estimate the application, platform, data, testing, and operational effort associated with each migration path.
  • Produce concise Engineering Assessment Inputs documenting:
    • Data-model coupling
    • Access-pattern findings
    • Migration options
    • Platform dependencies
    • Cutover and rollback feasibility
    • Key risks and constraints
    • Likely future engineering effort
  • Partner with application teams, cloud platform teams, architects, security stakeholders, and data owners throughout the assessment process.

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