Data Quality Specialist

Milan Laser Hair Removal; Omaha (NE); On-site; USD 55,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Paid time off

6 paid holidays

Cellphone stipend

401k with employer match

Free laser hair removal services for员工

Job summary

Milan Laser Hair Removal is seeking a Data Quality Specialist to champion data quality across its data platform. The role builds automated checks, defines standards, and partners with data engineers, BI, and stakeholders to embed quality into new pipelines.

You’ll investigate issues, identify root causes, and drive improvements for reliable decision data. Ideal candidates will have a strong SQL background, experience with Snowflake or similar warehouses, and familiarity with data quality

Qualifications

• High school diploma or GED is required.
• Bachelor’s degree in information technology, computer science, statistics, or related field or equivalent combination is required.
• One year of experience with data quality, data analysis, quality assurance, or database systems.
• Three years of SQL experience is required.
• Understanding of data quality concepts (accuracy, completeness, timeliness, consistency) is required.
• Ability to communicate technical issues to business and technical audiences.

Responsibilities

• Develop and maintain Milan’s data quality framework, standards, and documentation.
• Build and maintain automated data quality checks using Snowflake and related tooling.
• Monitor pipelines and datasets for accuracy, completeness, and consistency.
• Investigate data quality issues, identify root causes, and drive remediation.
• Collaborate with data engineers, BI team, and stakeholders to embed data quality checks into pipelines and reports.

Skills

SQL

Python

Communication

Education

High school diploma or GED

Bachelor’s degree in IT/CS/Statistics or related field

Tools

Snowflake

Snowflake Data Metric Functions

Great Expectations

dbt tests

Job description

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.

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 upscale 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 preferredExperience 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
• 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.