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Remote Data Remediation Analyst Jobs (NOW HIRING)

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Pull Skil

Data Governance Analyst

Jersey City, NJ · Remote

REMOTE Reports To: Project Manager Manager Notes: Need someone with background in Data Governance ... Data Stewards for remediation Develop candidate Key Performance Indicators and dashboards to ...

Pull Skil

Data Governance Analyst

Jersey City, NJ · On-site +1

REMOTE Reports To: Project Manager Manager Notes: Need someone with background in Data Governance ... for remediation • Develop candidate Key Performance Indicators and dashboards to measure the ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

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Remote Data Remediation Analyst information

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

As of Jun 11, 2026, the average yearly pay for remote data remediation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

More about Remote Data Remediation Analyst jobs
What cities are hiring for Remote Data Remediation Analyst jobs? Cities with the most Remote Data Remediation Analyst job openings:
What are the most commonly searched types of Data Remediation Analyst jobs? The most popular types of Data Remediation Analyst jobs are:
What states have the most Remote Data Remediation Analyst jobs? States with the most job openings for Remote Data Remediation Analyst jobs include:
What job categories do people searching Remote Data Remediation Analyst jobs look for? The top searched job categories for Remote Data Remediation Analyst jobs are:
Remote Data Remediation Analyst jobs near you
Infographic showing various Remote Data Remediation Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 48% Full Time, 45% 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 $82,640 per year, or $39.7 per hour.
Senior Data Analyst (Remote)

Senior Data Analyst (Remote)

NuView Analytics

Denver, CO • Remote

$90K - $120K/yr

Full-time

Posted 7 days ago

Job description

100% Remote Full-time Senior Analyst

At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship we help companies gain a new perspective on their business through their data.

Salary: $90k120K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm
  • Candidate will take Lead on client projects from start to finish scoping, onboarding, delivering
  • Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development
  • Statistical modeling and machine learning

Qualifications:

  • Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 3-5 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, Power BI, or Looker all stars
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to Lead other team members as a player coach, completing projects side-by-side and teaching junior team members best practices and techniques
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)