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Senior Data Analyst Developer Jobs in Utah (NOW HIRING)

Sr. Data Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

Azure Data Engineering, Azure DBA, Azure Developer or others related to the position * Domain ... Best Regards Syed Imran Sr Technical Recruiter 224-296-3522 | syed@navtechusa.com NAVTECH INC ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... and advanced analytics tools; proficient in multiple data-related programming languages

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... and advanced analytics tools; proficient in multiple data-related programming languages

Data Analyst

Lehi, UT · On-site +1

Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline. * Preferred Bachelor's degree in computer science, statistics ...

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and ... programming languages is preferred YOUR BENEFITS YOUR CONTACT PERSON Jennifer Hood Talent ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI ...

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... You will partner with business collaborators, analysts, program leaders, architects, and engineers ...

Sr Data Solution Engineer

Lehi, UT

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... You will partner with business collaborators, analysts, program leaders, architects, and engineers ...

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Senior Data Analyst Developer information

How much is a senior data analyst developer paid?

A senior data analyst developer typically earns between $80,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, or R, and may hold certifications like Certified Analytics Professional (CAP). Compensation can vary based on company size and complexity of projects.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.
What are the most commonly searched types of Data Analyst Developer jobs in Utah? The most popular types of Data Analyst Developer jobs in Utah are:
What are popular job titles related to Senior Data Analyst Developer jobs in Utah? For Senior Data Analyst Developer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Developer jobs in Utah look for? The top searched job categories for Senior Data Analyst Developer jobs in Utah are:
What cities in Utah are hiring for Senior Data Analyst Developer jobs? Cities in Utah with the most Senior Data Analyst Developer job openings:
Infographic showing various Senior Data Analyst Developer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

IAR Senior Data Analyst

Western Governors University

Salt Lake City, UT • On-site

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

80th of 616 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 310
Pay 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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