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Remote Data Quality Analyst Jobs in Houston, TX (NOW HIRING)

YO AI Labs

Data Privacy Analyst - Remote

Houston, TX · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced ... Evaluate data against established privacy and quality standards. * Document discrepancies, findings ...

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 ... onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month contract ...

SYUFY GROUP

Billing and Data Analyst

Cypress, TX · On-site +1

$41K - $55K/yr

... work remote Fridays, weekly. COMPENSATION AND BENEFITS INCLUDE: * Annually, based on relevant ... Monitor data quality and integrity across billing and financial systems, ensuring accuracy and ...

Villa Sport

Billing and Data Analyst

Cypress, TX · On-site +1

$41K - $55K/yr

... work remote Fridays, weekly. COMPENSATION AND BENEFITS INCLUDE: * Annually, based on relevant ... Monitor data quality and integrity across billing and financial systems, ensuring accuracy and ...

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All JobsData Quality Analyst JobsRemote Data Quality Analyst JobsRemote Data Quality Analyst Jobs in Houston, TX

Remote Data Quality Analyst information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

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

As of Sep 3, 2026, the average yearly pay for remote data quality analyst in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, 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 are the most commonly searched types of Data Quality Analyst jobs in Houston, TX?

The most popular types of Data Quality Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Data Quality Analyst jobs?

Cities near Houston, TX with the most Remote Data Quality Analyst job openings:

Remote Data Quality Analyst jobs near you
Infographic showing various Remote Data Quality Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Quality Analytics Solutions Developer / Power BI Engineer

Kiewit Corporation

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

21st of 80 rated construction

Job description

Requisition ID: 181704 

Job Level: Mid Level 

Home District/Group: Kiewit Quality 

Department: Quality 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

The Quality Analytics Solutions Developer partners with Quality, Technology, and business leaders to transform complex operational data into actionable insights that improve project performance and decision-making. This role develops dashboards, reporting solutions, and analytical tools while integrating data from multiple enterprise systems to create scalable, governed, and reliable analytics that support field teams, district leadership, and corporate stakeholders. Success in this role requires balancing technical expertise with a strong understanding of business processes, helping modernize Quality reporting from manual, fragmented data into a connected enterprise analytics environment.

District Overview

Kiewit's Quality Group is a shared service that maintains and executes quality standards on projects across the company. Our principal quality objectives are to meet or exceed clients' expectations and to eliminate rework by performing our work "right the first time." We monitor our performance against these objectives and require continual improvement.

Location

Preferably this person will be located and work out of the Lenexa, KS or Houston, TX offices. Remote work may be considered.

Responsibilities
  • Design, develop, and maintain dashboards, reports, and analytical solutions that provide meaningful insights into Quality performance across projects, districts, and business units.
  • Retrieve, integrate, validate, and transform data from Snowflake and other enterprise systems to support reporting, analytics, and decision-making.
  • Develop scalable Power BI reports, semantic models, reusable datasets, measures, and visualizations while leveraging the most appropriate technology for each business need.
  • Build analytical solutions using tools such as SQL, Excel, Power Platform, Microsoft Fabric, SharePoint, Dataverse, Python, and other enterprise technologies.
  • Partner with Quality leaders and project teams to understand business processes and translate operational needs into reporting requirements, KPIs, dashboards, and workflow improvements.
  • Identify inconsistencies in source data, reporting definitions, and business processes while developing standardized, governed solutions that improve data quality and reporting accuracy.
  • Validate reporting outputs against source systems and troubleshoot discrepancies to ensure the integrity and reliability of analytics.
  • Support data governance initiatives by documenting definitions, maintaining reporting standards, and promoting consistent metrics across the organization.
  • Develop dashboards and analytical products that highlight trends, risks, leading indicators, and actionable insights rather than simply reporting historical data.
  • Manage reporting environments, including security, access controls, refresh schedules, testing, deployment, and ongoing support.
  • Collaborate with Technology, Data Architecture, and business stakeholders to continuously improve Quality analytics capabilities and reporting solutions.
  • Independently manage multiple priorities while delivering practical, scalable solutions in a fast-paced environment.
Qualifications
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Analytics, or a related field, or equivalent professional experience.
  • 5+ years of experience developing business intelligence solutions, dashboards, reports, and enterprise analytics.
  • Advanced SQL experience, including querying, joining, transforming, and validating data within Snowflake or similar cloud-based data platforms.
  • Experience developing Power BI dashboards, semantic models, DAX measures, Power Query transformations, and reusable datasets.
  • Strong understanding of data modeling principles and business intelligence best practices.
  • Advanced Microsoft Excel skills, including Power Query, PivotTables, structured tables, analytical models, and complex formulas.
  • Experience integrating data from multiple enterprise systems, databases, APIs, spreadsheets, SharePoint, and other business applications.
  • Experience with Microsoft Power Platform, including Power Apps and Power Automate.
  • Ability to translate business requirements into scalable reporting and analytical solutions.
  • Strong communication and collaboration skills with both technical and non-technical stakeholders.
  • Demonstrated ability to manage multiple projects and deliver high-quality solutions independently.
Preferred Qualifications
  • Experience with Microsoft Fabric, Azure data services, Dataverse, or similar enterprise data platforms.
  • Experience using Python, R, notebooks, or other analytical programming languages.
  • Understanding of data governance, reporting standards, metadata management, and enterprise data quality practices.
  • Experience developing enterprise dashboards that communicate trends, operational risk, performance metrics, and actionable insights.
  • Background supporting construction, engineering, project execution, quality management, inspections, nonconformance reporting, or operational risk.
  • Experience working with data across multiple business systems where processes, definitions, and data quality vary.

Other Requirements:

  • Regular, reliable attendance 
  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.
 

What Kiewit Corporation employees say

Pay

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Hours and flexibility

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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