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Data Qa Jobs in Nebraska (NOW HIRING)

Milan Laser Hair Removal

Data Quality Specialist

Omaha, NE · On-site

$16.25 - $21.75/hr

One year of experience working with data quality, data analysis, quality assurance, or database systems required * Three years of Structured Query Language (SQL) experience required * Understanding ...

Milan Laser Hair Removal

Data Quality Specialist

Omaha, NE

$16.75 - $22.50/hr

One year of experience working with data quality, data analysis, quality assurance, or database systems required * Three years of Structured Query Language (SQL) experience required * Understanding ...

Wald Family Foods

Quality Assurance Manager

Omaha, NE · On-site

$75 - $90/hr

Quality Assurance Reports to: Plant Manager / Director of Quality Location: 13335 C Street, Omaha ... Familiarity with statistical process controls (SPC) and data analytics. What we offer

Highbrow LLC

QA Director

Omaha, NE · On-site

$120 - $150/hr

Job Title: QA Director Job ID: 2024-13197 Job Location: Omaha, NE, Berkeley Heights, NJ (100 ... Make data-driven recommendations to enhance operational excellence, leading the implementation of ...

MSCCN

QA Inspector

South Sioux City, NE · On-site

Accurately record sampling data in a timely manner. The QA Inspector is also responsible for accurate labeling, packaging, and shipping of product samples to specified laboratories. * Will perform ...

penlink

Quality Assurance Team Lead

Lincoln, NE · On-site

It sounds like a lot of data and analytics, but really, it's about improving the world and keeping ... The QA Lead will be responsible for ensuring that software bugs are identified, tracked and ...

Harris

$55K - $65K/yr

Primary Functions Reporting to the Mobile Team Lead, the Quality Assurance Analyst's key ... Proficiency with Microsoft Office applications and the ability to use software tools for data entry ...

Kemper

Senior Data Systems Analyst

Omaha, NE

Test Strategy and Quality Assurance * Develop and maintain comprehensive testing strategies for enterprise data platforms and business-critical processes. * Create test cases, test scenarios ...

Williams Form Engineering

QA Technician

Wayne, NE · On-site

We are looking for an individual to work in the QA Department within our Wayne, NE manufacturing ... Analyze and interpret blueprints, data, manuals, and other materials to determine specifications ...

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Data Qa information

What is the difference between Data Qa vs Data Analyst?

AspectData QaData Analyst
Required CredentialsBasic understanding of testing tools, some certificationsDegree in data-related fields, certifications like Microsoft or SAS
Work EnvironmentQuality assurance teams, software testing environmentsData analysis teams, business intelligence settings
Employer & Industry UsageTech companies, software development firmsFinance, marketing, healthcare, and other industries
Common Search & ComparisonOften compared for data quality rolesMore focused on data insights and reporting

Data Qa professionals primarily focus on testing and ensuring data quality, often working within QA teams to validate data accuracy and integrity. Data Analysts, on the other hand, analyze data to generate insights, create reports, and support decision-making. While both roles work with data, Data Qa emphasizes quality assurance processes, whereas Data Analysts focus on data interpretation and analysis.

Is data QA a difficult job?

Data QA (Quality Assurance) involves reviewing and testing data for accuracy, consistency, and completeness, which can require attention to detail and analytical skills. The difficulty depends on the complexity of the data, the tools used, and the specific requirements of the role, but it generally involves systematic processes and knowledge of data management practices.

What does a data QA do?

A data QA (Quality Assurance) specialist reviews and tests data to ensure accuracy, consistency, and completeness. They identify and report data issues, often using tools like SQL or data validation software, to maintain data quality for analysis and decision-making.

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

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

Data Qa jobs near you
Infographic showing various Data Qa job openings in Nebraska as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution.

Data Quality Specialist

Milan Laser Hair Removal

Omaha, NE • On-site

$16.25 - $21.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Milan Laser Hair Removal rating

7.5

Company rating: 7.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 42 rated hair and beauty

Job description

About Milan Laser Hair Removal
At Milan Laser Hair Removal, we're not just transforming skin�we're transforming confidence. As the nation's largest laser hair removal provider, we're built on a culture of excellence, innovation, and a commitment to delivering a world-class experience for both our clients and our team.
As Milan continues to grow, trusted data is essential to how we make decisions, measure performance, and build for the future. We're looking for a Data Quality Specialist who will help ensure the data behind those decisions is accurate, complete, consistent, and reliable.
Position Summary
Champion data quality standards and practices across Milan's data platform. Build and maintain ongoing, automated checks that catch data issues early rather than relying only on upfront validation. Partner with data engineers, the business intelligence team, and business stakeholders to embed data quality into the way Milan builds and maintains its data. Investigate data quality issues, identify root causes, and drive improvements that prevent problems from recurring.
Status: Full-time | Salaried
Location: Omaha, NE | On-Site
Responsibilities
  • Data Quality Standards & Frameworks: Develop and maintain Milan's data quality framework, standards, and documentation. Define what accurate, complete, and reliable data looks like for critical datasets in partnership with data engineering and business intelligence team members. Champion adoption of data quality standards and practices across the data team.
  • Continuous Monitoring & Testing: Build and maintain ongoing, automated data quality checks using Snowflake Data Metric Functions and related tooling. Monitor pipelines and datasets for accuracy, completeness, and consistency on a continuous basis rather than relying solely on upfront validation. Perform upfront testing as needed to ensure that new pipelines match baseline data. Identify and escalate data quality issues before they reach business users.
  • Root Cause Analysis & Remediation: Investigate data quality issues to identify root cause, partnering with data engineers to implement fixes. Track data quality issues and trends over time to identify systemic problems. Recommend process, pipeline, or governance improvements to prevent recurring issues.
  • Collaboration & Advocacy: Partner with data engineers, business intelligence team members, and business stakeholders to embed data quality checks into new pipelines and reports as they are built. Communicate data quality findings, risks, and improvements clearly to both technical and business audiences. Support team-wide accountability for data quality by sharing standards, documentation, and training.

Qualifications
  • High school diploma or equivalent (e.g., GED) required
  • Bachelor's degree in information technology, computer science, statistics, or a related field OR equivalent combination of education and experience combined (one year of experience equals one year of education) required
  • One year of experience working with data quality, data analysis, quality assurance, or database systems required
  • Three years of Structured Query Language (SQL) experience required
  • Understanding of data quality concepts such as accuracy, completeness, consistency, and timeliness required
  • Collaborative, team-first mentality with the ability to communicate technical issues to both business and technical audiences required
  • Effective written and verbal communication skills required
  • Experience with Snowflake or another cloud data warehouse required
  • Python or other scripting language experience preferred
  • Experience with data observability or data testing tools (e.g., Snowflake Data Metric Functions, Great Expectations, Elementary/dbt tests) preferred
  • Experience working in an Agile/Scrum project development environment preferred

Benefits
  • Medical, dental, vision, disability and life insurance within 30 days
  • Paid time off starting immediately
  • 6 Paid holidays
  • $50 cellphone stipend paid out monthly
  • 401k retirement plan with vested 4% employer match after 90 days
  • Career advancement opportunities + Culture/environment
  • Employees and their spouse or legal partner receive free laser hair removal services

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.
We are deeply committed to attracting talented team members in the US from all backgrounds regardless of race, age, gender, ethnicity, religion, sexual orientation, disability status, or nationality. However, at this time, we are not sponsoring any Visas.
Equal Opportunity Employer
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