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Remote Data Quality Analyst Jobs in Nebraska (NOW HIRING)

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll develop, implement, and oversee enterprise-wide data governance, data quality, and data ...

Harris

$55K - $65K/yr

Ability to manage priorities, meet deadlines, and work independently in a remote team environment ... Experience with API testing, integration testing, data validation, or test automation is a plus.

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Your work will enable trusted data products, analytics, operational reporting, and future AI use ...

CSAA

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... quality. Project Management * Manage multiple recurring and ad hoc regulatory data requests ...

Nationwide

Ideal candidates will be based in Columbus, Des Moines or Scottsdale regions, with remote work ... data analysis, quality, visualization, governance, engineering, robotic process automation, and ...

New

Veterinary Pet Insurance

Ideal candidates will be based in Columbus, Des Moines or Scottsdale regions, with remote work ... data analysis, quality, visualization, governance, engineering, robotic process automation, and ...

New

CSAA

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ...

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Remote Data Quality Analyst information

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$12

$34

$58

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

As of Aug 13, 2026, the average hourly pay for remote data quality analyst in Nebraska is $34.10, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $41.35 per hour, depending on experience, location, and employer.

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 Nebraska?

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

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

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

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

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

Remote Data Quality Analyst jobs near you
Infographic showing various Remote Data Quality Analyst job openings in Nebraska 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 $70,936 per year, or $34.1 per hour.

Data Analyst - Kiewit Data Services

Kiewit Corporation

Papillion, NE • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Kiewit Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

24th of 80 rated construction

Job description

Requisition ID: 180673 

Job Level: Entry Level 

Home District/Group: DHO Kiewit Data Services 

Department: Data Services 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

We are seeking a data-driven product and analytics professional who thrives at the intersection of data, technology, and business operations. This role combines data analysis and project coordination with product management responsibilities - ensuring that our data tools and analytics products are adopted, refined, and continuously improved.

As a Data Analyst, you will:
   Manage and support major data initiatives and tools within your domain.
   Partner with technical and business teams to drive adoption and usability.
   Lead product and project efforts from requirement gathering through rollout and measurement.
   Proactively seek new ideas and opportunities to advance the domain, staying informed on industry trends and best practices.

You'll partner closely with the Data Strategy Domain Manager to:
   Drive adoption and continuous improvement of data products.
   Assess and enhance model inputs, data quality, and performance.
   Build analytics and metrics to guide both operational decisions and product evolution.
   Ensure alignment between business needs, technical development, and delivery timelines.

This position is ideal for someone with a strong technical foundation in SQL, Python, Snowflake, and BI platforms, along with an interest in project coordination, stakeholder engagement, and data-driven product strategy. The role also requires a strong drive for self-learning, high attention to detail, and strong organizational skills, as well as an interest in solving complex problems.

District Overview

Kiewit Data Services' (KDS) mission is to make Kiewit the premier data-driven organization in our industry.  To accomplish this, our projects and districts need to have the right quality of data and the right level of analysis available to them at the right time.  KDS is a cross functional organization with employees that have expertise in data, technology, support, and operations backgrounds.  Our core functions are data Quality, Governance, Enablement, Analytics and Data Science.  We are intent on delivering a world class user experience to Kiewit employees and believe in the power of analytics to aid us in this mission.

Location

This position is based out of our Omaha, NE campus. This is a corporate office in a professional office setting. 

Responsibilities

Stakeholder Support & Product Enablement:

   Serve as the primary point of contact for your domain's data tools and products.
   Provide structured, consistent support to users and product stakeholders.
   Translate business needs into technical requirements and clear action plans.
   Maintain user feedback channels and translate insights into backlog items or improvement stories.

Data Fluency & Technical Support:

   Understand how tools and models work: key inputs, assumptions, and outputs.
   Use SQL, Snowflake, or Python to conduct data validation, monitor usage, and investigate user issues.
   Partner with Data Products and Engineering teams to resolve tool issues or data discrepancies.
   Contribute to the release testing and validation prior to deployments.

Roadmap & Communication:

   Maintain adoption and support documentation.
   Support project scoping, timeline planning, and resource coordination for data products.
   Help track rollout milestones and identify areas for re-engagement or retraining.
   Build transparency around progress, risks and upcoming releases.
   Communicate updates clearly to business stakeholders.

Launch & Adoption Support:

   Coordinate rollout and hypercare for new or updated tools.
   Develop user-facing resources such as release notes, how-to guides, and short videos.
   Organize and deliver training sessions to build user confidence and tool fluency.

Qualifications
  • Bachelor's degree in Data Analytics, Construction Management, Engineering, or related field.
  • Familiarity with construction or engineering processes and tools.
  • Working knowledge of SQL and at least one of: Python, Snowflake, Power BI, or Sigma Computing.
  • Excellent communication skills - able to translate between technical and non-technical audiences.
  • Attention to detail is a must, especially in a fast-paced development environment.
  • Proven ability to support digital tool adoption and explain technical concepts to non-technical users.

Kiewit is an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace.

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. 
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.
We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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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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