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Data Quality Associate Jobs in Nebraska (NOW HIRING)

Neogen

Data Analyst I

Lincoln, NE · On-site

The Data Analyst I plays a key role in supporting the generation, integrity, and delivery of ... Quality Standards. * Other duties as assigned by management. PREFERRED QUALIFICATIONS: * Associate ...

Bryan Health

Clinical Quality Analyst

Lincoln, NE · On-site

Ensures data quality, integrity, governance, and standardization by applying defined data ... Associate's degree in Nursing, Health Information Management, Public Health, Healthcare ...

Bryan Health

Clinical Quality Analyst

Lincoln, NE · On-site

Ensures data quality, integrity, governance, and standardization by applying defined data ... Associate's degree in Nursing, Health Information Management, Public Health, Healthcare ...

Nationwide

It also supports data quality by identifying defects, assessing downstream impacts, partnering on ... hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated ...

Oatey

Quality Technician II

Omaha, NE · On-site

$17.25 - $23.25/hr

Engineering Change Notice activities, filing, and data entry. Other duties as assigned. Knowledge ... Associates or Bachelor's Degree in a business, engineering or scientific course of study preferred.

Oatey

Quality Technician II

Omaha, NE · On-site

$17 - $22.75/hr

Engineering Change Notice activities, filing, and data entry. Other duties as assigned. Knowledge ... Associates or Bachelor's Degree in a business, engineering or scientific course of study preferred.

Oatey Es

Quality Technician II

Omaha, NE · On-site

$17 - $22.75/hr

Engineering Change Notice activities, filing, and data entry. Other duties as assigned. Knowledge ... Associates or Bachelor's Degree in a business, engineering or scientific course of study preferred.

Oatey

Quality Technician II

Omaha, NE · On-site

$17 - $22.75/hr

Engineering Change Notice activities, filing, and data entry. Other duties as assigned. Knowledge ... Associates or Bachelor's Degree in a business, engineering or scientific course of study preferred.

Oatey

Quality Technician II

Omaha, NE

$17 - $22.75/hr

Engineering Change Notice activities, filing, and data entry. Other duties as assigned. Knowledge ... Associates or Bachelor's Degree in a business, engineering or scientific course of study preferred.

Mary Lanning Healthcare

RN Quality Analyst

Hastings, NE · On-site

Associate Degree (Graduate of nursing program from an accredited college, university, or approved ... Review risk and patient safety data, occurrence reports and safety surveys for outpatient and ...

Webforge

Quality Coordinator

Valley, NE · On-site

Performs a variety of statistical processing control (SPC) measuring, data gathering and analysis ... Associates degree with at least 2 years' of quality control experience OR at least 5 years of ...

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Data Quality Associate information

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How much do data quality associate jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data quality associate in Nebraska is $25.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $30.00 per hour, depending on experience, location, and employer.

What does a Data Quality Associate do?

A Data Quality Associate is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They monitor data flows, identify errors or inconsistencies, and work with other teams to resolve any issues. Their work helps maintain high data standards, which is essential for reliable reporting and decision-making. Data Quality Associates may also help develop data validation processes and contribute to improving data management practices.

What are the key skills and qualifications needed to thrive as a Data Quality Associate?

To thrive as a Data Quality Associate, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor's degree. Familiarity with data quality tools (such as Informatica Data Quality or Talend), SQL, and data governance frameworks is typically required. Excellent problem-solving, communication, and organizational skills help you collaborate effectively and resolve data discrepancies. These abilities ensure the accuracy, reliability, and integrity of organizational data, which is essential for informed decision-making and operational efficiency.

How does a Data Quality Associate typically collaborate with other teams to ensure data integrity?

As a Data Quality Associate, you will frequently work across departments such as data engineering, business analytics, and IT to address data discrepancies and implement quality standards. Collaboration often involves participating in regular meetings to discuss data issues, clarifying data definitions, and coordinating on data validation projects. This cross-functional teamwork is essential, as it ensures that data quality initiatives are aligned with organizational goals and that any issues are communicated and resolved efficiently.

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

AspectData Quality AssociateData Analyst
Primary FocusEnsuring data accuracy, completeness, and consistencyAnalyzing data to identify trends and support decision-making
Skills & CertificationsData management, quality control, basic SQL, ExcelData analysis, statistical skills, SQL, visualization tools
Work EnvironmentData management teams, quality assurance departmentsBusiness units, analytics teams, IT departments
Industry UsageCommon in healthcare, finance, and tech sectorsWidespread across industries for data-driven roles

The Data Quality Associate primarily focuses on maintaining the integrity and accuracy of data, ensuring it meets quality standards. In contrast, a Data Analyst interprets data to generate insights and support strategic decisions. While both roles require data skills, their core responsibilities differ, with the Data Quality Associate emphasizing data integrity and the Data Analyst emphasizing data interpretation.

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

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

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

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

What cities in Nebraska are hiring for Data Quality Associate jobs?

Cities in Nebraska with the most Data Quality Associate job openings:

Data Quality Associate jobs near you
Infographic showing various Data Quality Associate job openings in Nebraska as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,411 per year, or $25.7 per hour.

Talent Data Management Associate Director - Principal Data Architect (Location Flexible)

RSM

Omaha, NE

Full-time

Re-posted 23 days ago

Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.

The Talent Data Management Associate Director serves as the Principal Data Architect for Talent Technology and is responsible for defining and executing the strategic vision for the firm's HR data ecosystem. This roleleadsthe design, governance, and evolution of the Talent Operational Data Store (ODS), ensuring HR data is scalable, secure, reliable, and optimized to support enterprise reporting, analytics, and business intelligence.

As the organization's HR data architecture leader, this position is responsible for designing modern relational database solutions and Azure-based data warehouse architecture that enable trusted, high-quality data for downstream analytics and Power BI reporting. The role partners closely with HRIS, Talent Analytics, Reporting, and business stakeholders to translate complex HR business processes into scalable, sustainable data solutions.

This leader will manage the Database Administrator while serving as the organization's technical authority for HR data architecture. The role will frequently operate as a player/coach by providing architectural leadership, technical guidance, mentoring, and hands-on design expertise for critical initiatives.

Responsibilities:

Strategic Leadership & Data Architecture (50%)

  • Develop and execute the long-term strategy and roadmap for the Talent Operational Data Store and enterprise HR data architecture.

  • Lead and manage the Database Administration function by providing technical leadership, coaching, mentoring, and performance management.

  • Serve as the Principal Data Architect for Talent Technology, establishing enterprise data architecture standards and best practices.

  • Design scalable relational database structures and Azure-based data warehouse solutions that support current and future business needs.

  • Develop conceptual, logical, and physical data models that optimize reporting, analytics, scalability, and system performance.

  • Partnerwith HRIS, Talent Analytics, Reporting, and business leaders to ensure data architecture aligns with business strategy and enterprise objectives

  • Evaluate current data structures and recommend modernization opportunities that improve usability, scalability, and operational efficiency.

  • Lead architectural decisions for new HR technologies and ensure alignment with enterprise architecture standards.

  • Provide architectural oversight for large-scale Talent Technology initiatives involving enterprise HR data.

  • Guide technical decision-making on complex data challenges while balancing business priorities and long-term sustainability.

  • Establish standards for database design, metadata management, documentation, naming conventions, and data lifecycle management.

  • Communicate architectural direction, project progress, risks, and recommendations to senior leadership and key stakeholders.

  • Foster a culture of continuous improvement, innovation, and technical excellence across the Talent Data Management function.

Talent Data Management & Operational Data Store (35%)

  • Lead the design, development, implementation, and ongoing evolution of the HR Operational Data Store (ODS).

  • Design and maintain enterprise HR data models that accurately represent business processes and organizational relationships.

  • Develop and maintain conceptual, logical, and physical data models supporting Workforce, Recruiting, Learning, Compensation, Payroll, Organizational Management, and other Talent domains.

  • Build scalable Azure-based data warehouse solutions that support enterprise reporting and advanced analytics.

  • Design relational database structures that optimize reporting performance and simplify downstream consumption by analytics platforms.

  • Understand end-to-end HR business processes and translate functional requirements into scalable technical data solutions.

  • Create and maintain technical documentation, including entity relationship diagrams (ERDs), data dictionaries, metadata, data lineage, mapping specifications, and solution architecture documentation.

  • Ensure data quality, consistency, integrity, and reliability across the Talent data ecosystem.

  • Partner closely with the Power BI and Reporting teams to ensure the operational data store and data warehouse are optimized for semantic modeling, dashboard development, and self-service analytics.

  • Anticipate future reporting and analytical needs by designing reusable, extensible, and scalable data structures.

  • Collaborate with HRIS and business stakeholders to continuously improve the firm's Talent data strategy and architecture.

  • Drive database optimization initiatives to improve system performance, reliability, and reporting efficiency.

Data Governance, Quality & Operational Excellence (15%)

  • Develop and maintain enterprise standards for HR data governance, quality, and operational data management.

  • Establish quality controls and validation processes that ensure trusted, accurate, and consistent HR data.

  • Partner with HRIS and business stakeholders to define data ownership, stewardship, and governance practices.

  • Ensure compliance with enterprise security, privacy, legal, and regulatory requirements.

  • Participate in architecture and solution reviews to ensure new initiatives align with enterprise data standards.

  • Support metadata management, master data management, data lineage, and data catalog initiatives.

  • Promote best practices for database architecture, documentation, and operational excellence.

  • Provide technical consultation, education, and mentorship on HR data architecture across Talent Technology.

  • Maintain knowledge of emerging Azure data technologies and industry best practices to continuously improve the Talent data platform.

Other duties as assigned

MinimumRequirements

Education & Experience

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Architecture, Software Engineering, or a related technical field.

  • 5+ years of experience designing enterprise data architecture, operational data stores, enterprise data warehouses, or relational database solutions.

  • 2+ years of leadership experience, including managing technical teams or leading enterprise data initiatives.

  • Demonstrated experience designing and implementing enterprise data warehouse solutions using Microsoft Azure technologies.

  • Experience designing scalable relational database solutions supporting enterprise reporting and business intelligence.

  • Experience translating business requirements into conceptual, logical, and physical data models.

  • Experience partnering with analytics and reporting teams to build reporting-ready data solutions.

  • Experience working with HR, ERP, or other enterprise operational data is preferred.

TechnicalSkills

  • Strong experience designing and implementing Azure-based enterprise data warehouse solutions.

  • Hands-on experience with Azure technologies, including:

  • Azure SQL Database

  • Azure Synapse Analytics

  • Azure Data Factory

  • Microsoft Fabric

  • Azure Data Lake Storage (ADLS)

  • Azure SQL Managed Instance (preferred)

  • Expert understanding of relational database design principles, normalization, indexing, and performance optimization.

  • Advanced experience developing conceptual, logical, and physical enterprise data models.

  • Experience designing Operational Data Stores (ODS), enterprise data warehouses, and dimensional data models.

  • Strong SQL development and database performance tuning skills.

  • Experience designing ETL/ELT data transformation frameworks.

  • Strong understanding of metadata management, master data management, data lineage, and enterprise data governance.

  • Experiencecreating architecture documentation including ERDs, solution architecture diagrams, data dictionaries, and technical specifications.

  • Working knowledge of Power BI semantic models, data modeling, and performance optimization.

  • Understanding of enterprise security, role-based access, and data privacy best practices.

  • Experience with HR data domains including Core HCM, Recruiting, Learning, Compensation, Payroll, Organizational Management, and Talent Management is preferred.

Leadership & SoftSkills

  • Strategic thinker with the ability to establish and execute a long-term enterprise data architecture vision.

  • Strongsystems-thinking mindset with the ability to understand how data flows across enterprise platforms and supports business outcomes.

  • Ability to translate complex technical concepts into clear business recommendations for executive and non-technical audiences.

  • Demonstrated ability to influence cross-functional stakeholders and build strong partnerships across HRIS, Analytics, Reporting, and Technology teams.

  • Strong coaching and mentoring skills with a passion for developing technical talent.

  • Exceptional analytical, architectural, and problem-solving capabilities.

  • Ability to balance strategic initiatives with operational priorities while maintaining a high standard of data quality and governance.

  • Strong written, verbal, presentation, and stakeholder management skills.

  • Ability to prioritize competing priorities and successfully lead multiple complex initiatives in a fast-paced environment

At RSM, we offer a competitive benefits and compensation package for all our people.We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $136,800 - $2...

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