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Remote Data Quality Analyst Jobs in Texas (NOW HIRING)

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Review, validate, and record data quality information including data quality rules, thresholds, and ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Development of definitions, data quality rules, thresholds, and standard metrics of quality for ...

Compare data files and reports against documented business requirements to ensure data quality and ... Strong analytical, critical thinking, and problem-solving skills. * Intermediate to advanced ...

Showing results 21-40

Remote Data Quality Analyst information

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 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 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 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 are the most commonly searched types of Data Quality Analyst jobs in Texas?

The most popular types of Data Quality Analyst jobs in Texas are:

What are popular job titles related to Remote Data Quality Analyst jobs in Texas?

For Remote Data Quality Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Data Quality Analyst jobs in Texas look for?

The top searched job categories for Remote Data Quality Analyst jobs in Texas are:

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

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

Infographic showing various Remote Data Quality Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

$82K/yr

Full-time, Contractor

Posted 11 days ago


Job description


Reports To:  IT Infrastructure and Services Coordinator
Salary:  This is a full-time, 12-month position at 232-days with a minimum annual salary of $82,572.



Summary:


Design, develop, and maintain the data pipelines, integration patterns, and data structures that support ESC Region 13 reporting, interoperability, software platforms, and artificial intelligence initiatives. Provide technical expertise in data integration, data quality, metadata, dashboards, and analytics enablement to support both internal decision making and external project delivery.

This position plays a central role in the Data Task Force initiative by helping create the data lake foundation, reducing data silos, and improving the quality and accessibility of information across systems. The role also supports district and project-based solutions such as Pulse, CIS NAV, dashboards, reporting tools, and future data and AI service offerings.
 

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field
  • Two years of experience in data integration, data engineering, business intelligence, analytics, or systems analysis
  • Experience with SQL, data transformation, and structured data management
  • Experience working with data from multiple source systems and supporting reporting or analytics needs
  • Ability to document data flows, troubleshoot data issues, and support technical solutions in a production environment

Preferred Qualifications:

  • Experience building ETL or ELT pipelines and working with cloud-based data platforms
  • Experience with Python, Power BI, APIs, dashboard development, or automation tools
  • Experience with data governance, metadata management, and data quality monitoring
  • Experience supporting public sector, education, or student information system environments
  • Experience with AI related data preparation, interoperability initiatives, or application support
  • Certifications or training related to data analytics, cloud data services, Power BI, SQL, or related tools
     

Knowledge/ Skills:


Data Engineering and Integration

  • Strong understanding of data extraction, transformation, loading, data modeling, and relational data structures
  • Ability to build and maintain pipelines that connect multiple systems and reduce reporting silos
  • Familiarity with APIs, data exchange patterns, and interoperability concepts
  • Knowledge of cloud platforms including Microsoft Azure and AWS.
  • Experience administering Windows Server and Linux server environments. 

Analytics and Reporting Support

  • Skilled in SQL and dashboard support for operational and executive reporting
  • Ability to organize data in ways that support reliable analytics, performance measurement, and decision intelligence
  • Knowledge of data quality controls, validation methods, and reconciliation practices

Governance and AI Enablement

  • Understanding of data governance, metadata discipline, and the importance of trusted datasets for responsible AI use
  • Ability to support data structures that enable reporting, software platforms, automation, and AI related workflows

Collaboration and Communication

  • Strong ability to work across departments, technical teams, and project groups to translate operational needs into data solutions
  • Strong documentation, problem solving, and customer service skills
  • Ability to manage multiple concurrent technical projects. 
     

Major Responsibilities:
 

  • Design, build, and maintain data pipelines, integration workflows, and transformation processes across Region 13 systems
  • Support the development of a data lake and related data architecture for the Data Task Force initiative
  • Improve interoperability and reduce data silos by connecting operational systems and standardizing data structures
  • Support dashboards, analytics, and recurring reporting for leadership and program teams
  • Maintain documentation of data sources, flows, business rules, and transformation logic
  • Support data quality validation, reconciliation, and troubleshooting activities
  • Collaborate with developers, infrastructure staff, and program teams to support Pulse, CIS NAV, dashboards, and related software initiatives
  • Contribute to AI enablement by preparing governed and structured data for automation, analytics, and intelligent tools
  • Support external or district facing initiatives that depend on analytics, interoperability, dashboard development, or data driven applications
  • Promote continuous improvement in data management, reporting reliability, and technical documentation
  • Perform other duties as assigned


     

Supervisory Responsibilities:

  • No direct supervisory responsibilities
  • May provide technical guidance and coordination to project teams, vendors, or temporary support personnel as assigned


     

Budget Responsibilities:


None
 

Working Conditions:

  • Must be able to work in a fast-paced environment with multiple competing priorities
  • Indoor office environment with some remote work flexibility
  • Occasional evening or weekend work may be required for data loads, system maintenance, or project deadlines
  • Some travel within the region may be required for project support, stakeholder meetings, or district coordination


     

Equipment Used:

  • Computer, peripherals, and general office equipment
  • Database tools, reporting platforms, data integration tools, scripting tools, and collaboration systems
  • Cloud data services, dashboard tools, and software development or support platforms



Education Service Center Region 13 logo

About Education Service Center Region 13

Sourced by ZipRecruiter

Education Service Center Region 13 (ESC Region 13) is based in Austin, TX, US and operates within the Education industry. As per the information from their official website, esc13.net, ESC Region 13 is a significant participant in the Texas public education sector since its establishment in 1967. This company provides services and products that improve educational outcomes. These interventions and tools are designed to boost teaching efficiency and learner outcomes. Their overarching mission is to inspire and empower educators to promote positive change that yields successful learners. One of the company's most notable accomplishments is their influence and contribution to the development of innovative curriculum resources that are now employed across the state of Texas.

Industry

Education

Company size

201 - 500 Employees

Headquarters location

Austin, TX, US

Year founded

1967