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Senior Data Quality Analyst Jobs in Utah (NOW HIRING)

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Work with data engineers on data quality assessment, data cleansing and data analytics Generate ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... quality assessment, data cleansing and data analytics • Generate reports, annotated code, and ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

... quality, observability, and governance, helping deliver trusted and scalable data products that ... Partner with business analysts, product owners, and stakeholders to understand and translate ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

... quality, observability, and governance, helping deliver trusted and scalable data products that ... Partner with business analysts, product owners, and stakeholders to understand and translate ...

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... and analytics surfaces. * Define and drive data engineering standards that improve quality ...

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

... analyze complex datasets, and develop, deploy, and monitor data‑driven solutions. Essential ... and product quality. * Evaluate and integrate AI/ML capabilities to strengthen product ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... quality. * Evaluate and integrate AI/ML capabilities where appropriate to strengthen product ...

Quality Auditor Associate Location: Salt Lake City, UT Duration: 6 Months Contract Shift: 3rd shift ... Review completed swab data and perform subsequent room/equipment release. * Ensures compliance with ...

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Senior Data Quality Analyst information

See Utah salary details

$14

$37

$64

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

As of Sep 7, 2026, the average hourly pay for senior data quality analyst in Utah is $37.72, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $49.47 per hour, depending on experience, location, and employer.

What does a senior data quality analyst do?

A Senior Data Quality Analyst is responsible for ensuring the accuracy, integrity, and consistency of data within an organization. They design and implement data quality processes, perform data profiling and cleansing, and identify data quality issues. Additionally, they collaborate with other teams to establish data standards, develop metrics, and recommend improvements to data management practices. Their work helps businesses make informed decisions based on reliable and high-quality data.

What does a senior data quality analyst do?

As a senior data quality analyst, your job is to monitor complex databases of information and identify valuable insights that are useful for making business decisions. Your duties include performing data monitoring, verifying the integrity of the database, and implementing error detection to find any potential issues. You typically use a variety of technologies to perform your duties and may be responsible for leading a team of data quality analysts at larger organizations. As a senior member of the group, you may also present your findings to the Board of Directors, various executives, or individual managers.

What are the key skills and qualifications needed to thrive as a senior data quality analyst, and why are they important?

To thrive as a Senior Data Quality Analyst, you need strong analytical skills, deep knowledge of data management principles, and experience with data profiling and cleansing, often supported by a degree in computer science or a related field. Familiarity with data quality tools (such as Informatica, Talend, or IBM InfoSphere), SQL, and data governance frameworks is typically required, along with relevant certifications like CDMP. Attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These competencies ensure data integrity, support business decision-making, and drive organizational success through reliable information management.

How does a senior data quality analyst typically collaborate with other departments to ensure data integrity?

As a Senior Data Quality Analyst, you will regularly work with cross-functional teams such as data engineering, business intelligence, and operations to identify, investigate, and resolve data quality issues. This involves attending meetings to understand data requirements, communicating data discrepancies, and establishing data validation protocols. Building strong relationships with stakeholders is crucial to proactively address potential data concerns and implement best practices. Effective collaboration ensures that data standards are consistently met and that business decisions are based on reliable information.

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

AspectSenior Data Quality AnalystData Analyst
Required CredentialsBachelor's degree, certifications in data quality or data management (e.g., CDMP)Bachelor's degree, often in statistics, mathematics, or related fields
Work EnvironmentFocus on data quality, validation, and governance within data teamsData interpretation, reporting, and visualization across departments
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcareCommon across various industries for business insights

The Senior Data Quality Analyst specializes in ensuring data accuracy, integrity, and compliance, often working closely with data governance teams. In contrast, a Data Analyst focuses on analyzing data to generate reports and support decision-making. While both roles require strong analytical skills, the Senior Data Quality Analyst emphasizes data quality management, making it more technical and compliance-oriented.

What are the most commonly searched types of Data Quality Analyst jobs in Utah?

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

What cities in Utah are hiring for Senior Data Quality Analyst jobs?

Cities in Utah with the most Senior Data Quality Analyst job openings:

What are popular job titles related to Senior Data Quality Analyst jobs in UT?

For Senior Data Quality Analyst jobs in UT, the most frequently searched job titles are:

Infographic showing various Senior Data Quality Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $78,463 per year, or $37.7 per hour.

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 hours ago


Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities


Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Professional 310Pay Range: $91,000.00 - $136,400.00

Job Description

At WGU, data is a catalyst for better outcomes. As an IAR Senior Data Analyst, you will transform complex information into meaningful insights that help leaders make informed decisions, improve operations, and enhance the student experience. This role partners closely with academic leaders, data engineers, product teams, finance, and other stakeholders to solve challenging business problems through data storytelling, analytics, and reporting.
This position is ideal for someone who combines strong technical expertise with the ability to communicate insights to executive audiences. You are equally comfortable writing complex SQL, developing business intelligence solutions, collaborating on data pipelines, and presenting actionable recommendations to senior leaders.
What You'll Do
  • Partner with stakeholders across academic delivery, reporting, data engineering, and executive leadership teams to identify analytics needs and translate business questions into technical requirements.
  • Develop, maintain, and enhance dashboards, reports, and visualizations that provide actionable insights and support key business decisions.
  • Perform complex analyses across multiple data domains to answer strategic business questions, evaluate initiatives, and support planning activities such as quarterly business reviews and operating plans.
  • Collaborate with Data Engineering teams on ETL/ELT processes, data pipelines, and data quality initiatives to improve the reliability and accessibility of university data.
  • Identify, investigate, and resolve complex data issues while helping establish standards and best practices that improve data quality across the organization.
  • Combine data analysis, visualization, and storytelling techniques to communicate findings effectively to technical and non-technical audiences, including executive leadership.
  • Drive projects and analytics initiatives with a high degree of autonomy while mentoring peers through knowledge sharing and constructive feedback.
What You'll Bring
  • Bachelor's degree in a related discipline.
  • 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
  • Advanced SQL proficiency, including complex queries, subqueries, joins, aggregations, window functions, common table expressions (CTEs), data manipulation, and performance optimization.
  • Strong experience building reports, dashboards, and visualizations using Tableau.
  • Experience working with analytics engineering concepts, ETL/ELT processes, data pipelines, and data quality initiatives.
  • Ability to read, understand, and work with PySpark code in support of analytics and data engineering efforts.
  • Experience communicating complex insights to partners, stakeholders, and senior leaders through presentations, meetings, workshops, and written communications.
  • Knowledge of data modeling concepts including conceptual, logical, dimensional, star schema, and snowflake schema design.
  • Experience with descriptive statistics, causal analysis, and inference.
  • Proficiency with Microsoft Office applications, including advanced Excel.
  • Familiarity with project management methodologies such as Agile, Waterfall, or SDLC frameworks.
  • Ability to perform with a high level of autonomy, reliability, self-direction, and sound judgment while balancing multiple priorities.
Bonus Points
  • Experience with Databricks.
  • Experience developing solutions in Power BI.
  • Exposure to Databricks Genie or other AI-assisted coding and analytics tools.
  • Experience using Jira, Confluence, Miro, Visio, Lucidchart, or similar collaboration and diagramming platforms.
  • Previous experience supporting executive reporting, strategic planning, or high-visibility business reviews.
Experience in Lieu of Education
An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Introductory call
  • Hiring manager interview
  • Technical Panel interview
  • Leadership Interview
Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.


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