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Remote Data Quality Analyst Jobs in Colorado (NOW HIRING)

SENIOR DATA ANALYST

Denver, CO ยท On-site +1

$88K - $111K/yr

Senior Data Analyst Job Type: (Remote)308 East Cherry Ave Jonesboro, AR 72401 SIKKY Manufacturing is a leading manufacturer of high-quality automotive parts and accessories. With over 20 years of ...

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO ยท On-site +1

$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 ...

This is a remote position with up to 25% domestic travel. This role leads team management and ... Manages the QA/QC process on data collected to ensure consistency and adherence to JREDD policies.

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

We are open to both hybrid or remote. The ideal candidate is motivated by challenging projects and ... Perform spatial analysis, data validation, and quality control to support project requirements

AWS Data Engineer

CO ยท On-site +1

$114K - $137K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for ...

AWS Data Engineer

CO ยท On-site +1

$114K - $137K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for ...

Senior Data Analyst

Denver, CO ยท On-site +1

$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 ...

Data Engineer, Principal

Denver, CO ยท On-site +1

$85 - $95/hr

... Analytics, and Data Engineering teams to design technical solutions and build data products that ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

The ServiceNow Business Analyst will be a key member of the CMDB Project Team. You will be working ... data quality, define improvements to ITIL processes to utilize CMDB more effectively, and ...

Position Summary The SCADA Data & Reporting Analyst is responsible for developing and maintaining operational reporting solutions for the Remote Operations Control Center (ROCC). This position will ...

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Showing results 1-20

Remote Data Quality Analyst information

See Colorado salary details

$13

$36

$62

How much do remote data quality analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote data quality analyst in Colorado is $36.69, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $44.47 per hour, depending on experience, location, and employer.

What is a remote data quality analyst?

A Remote Data Quality Analyst is a professional who works from a remote location to ensure the accuracy, consistency, and reliability of data within an organization. They are responsible for identifying data errors, analyzing data quality issues, and recommending improvements to data management processes. Their work supports business decision-making by ensuring that high-quality data is available for analysis. Remote Data Quality Analysts typically use various tools and software to monitor, validate, and report on data quality from a distance. This role often requires strong analytical skills, attention to detail, and proficiency with data management technologies.

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

To thrive as a Remote Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a bachelor's degree. Familiarity with data management systems, SQL, data visualization tools, and relevant certifications like CDMP or Six Sigma is common. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and ensuring data integrity. These skills and qualities are vital to ensure accurate data analysis, support business decision-making, and maintain high data quality standards in a distributed work environment.

What are some common challenges faced by remote data quality analysts and how can they be addressed?

Remote Data Quality Analysts often face challenges such as ensuring consistent communication with team members, maintaining data accuracy across disparate systems, and staying updated on evolving data standards. To address these, it's important to establish clear communication channels, use collaborative tools for real-time data validation, and participate in regular training or knowledge-sharing sessions. Building strong relationships with stakeholders and proactively seeking feedback can also enhance data quality and streamline problem-solving in a remote setting.

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

AspectRemote Data Quality AnalystRemote Data Analyst
CredentialsTypically requires data quality certifications, SQL, and data management skillsOften requires data analysis certifications, SQL, and statistical knowledge
Work EnvironmentFocuses on data accuracy, validation, and quality control in a remote settingInvolves analyzing datasets, generating reports, and providing insights remotely
Industry UsageCommon in data management, healthcare, finance, and tech companiesWidely used across marketing, finance, tech, and research sectors

The main difference is that a Remote Data Quality Analyst concentrates on ensuring data accuracy and integrity, while a Remote Data Analyst focuses on interpreting data and generating insights. Both roles often require similar technical skills but serve different functions within data teams.

What cities in Colorado are hiring for Remote Data Quality Analyst jobs?

Cities in Colorado with the most Remote Data Quality Analyst job openings:

Infographic showing various Remote Data Quality Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $76,322 per year, or $36.7 per hour.

Data Entry Coordinator Junior (Remote)

Only Data Entry

Leadville, CO โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the job Data Entry Coordinator Junior (Remote) Important:

You Will

Receive An Email Within Next 2 Minutes After Applying , Check Your Inbox or Spam Folder For next steps. Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

Accurately input, update, and maintain large volumes of data into our database systems. Verify and cross-reference data to ensure its accuracy and completeness. Conduct data quality checks and resolve discrepancies in a timely manner. Collaborate with other teams to gather and clarify data requirements. Maintain data confidentiality and adhere to data security protocols. Contribute to process improvement initiatives to enhance data entry efficiency.