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Open nowPosted 66 days ago

Data Quality Specialist

milanlaser445 open roles

Where
Omaha, NE, US
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Your applicationOpen nowData Quality Specialistmilanlaser · Omaha, NE, US

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. milanlaser postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 66 days ago

milanlaser median: 1 days open

The posting

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

#LI-EP1

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