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Senior Data Analyst Jobs in Utah (NOW HIRING)

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Perform model error analysis and identify opportunities to improve model behavior and output ...

PACS

Senior DataBI Analyst

Farmington, UT · On-site

$100/hr

We're growing fast and are looking for a skilled Data / Business Intelligence Analyst to join our team. We need someone who can build independently, take ownership of data infrastructure, and turn ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Perform model error analysis and identify opportunities to improve model behavior and output ...

eBay, Inc.

Sr. People Technology Analyst - Learning

Draper, UT · On-site

$80K - $101K/yr

We are looking for a product-minded Sr. People Technology Analyst to help develop and expand eBay ... Use data, user feedback, and operational metrics to identify friction points, measure adoption, and ...

LVT

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 ... power reporting, analytics, and business decisions at scale. This is a high-impact individual ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Position Summary: The Senior Data Engineer will design, build, and maintain serverless data ... Partner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data ...

Patientco

Senior Data Scientist

Lehi, UT

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Crew Career Center

Senior Data Scientist

Lehi, UT

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Raytheon

Senior EO Sensor Data Analyst Engineer

Provo, UT

$100K - $136K/yr

The Effector-Optics (EO) Department is looking for a Senior EO Sensor Analyst / Engineer to develop and implement structured and robust data analysis tools to support production Tier II Exo ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... analytical systems applied to design information and user behavior • Works closely with ... data, as well as in surfacing various analytically-based features in core products • Works on ...

Navitas Semiconductor

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

LVT

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 ... power reporting, analytics, and business decisions at scale. This is a high-impact individual ...

LVT

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 ... power reporting, analytics, and business decisions at scale. This is a high-impact individual ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Workday

Sr Data Conversion Consultant

Salt Lake City, UT

$105K - $195K/yr

... analytic solutions. The Sr. Technical Consultant has knowledge of core design principles, common data modeling and patterns, project implementation methodology, and a successful track record of ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

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Senior Data Analyst information

See Utah salary details

$50.1K

$90.3K

$123.4K

How much do senior data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data analyst in Utah is $90,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

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

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

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

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

What job categories do people searching Senior Data Analyst jobs in Utah look for?

The top searched job categories for Senior Data Analyst jobs in Utah are:

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

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

Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $90,337 per year, or $43.4 per hour.

Senior Data Scientist

Entrata

Lehi, UT • On-site

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies

Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.
We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data, experimentation, evaluation, and identifying the approaches that produce the best outcomes for complex property management workflows.
Responsibilities:
  • Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods.
  • Design and curate high-quality training datasets, including instruction data, preference data, and synthetic data.
  • Develop evaluation frameworks and benchmarks to measure model accuracy, reasoning, reliability, and task performance.
  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.
  • Perform model error analysis and identify opportunities to improve model behavior and output quality.
  • Partner with machine learning engineers to move successful experiments into production.
  • Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.
  • Translate business and product problems into measurable machine learning objectives.

Minimum Qualifications:
  • 5+ years of experience in data science, machine learning, applied AI, or a related field.
  • Hands-on experience working with large language models, including fine-tuning, evaluation, or model adaptation.
  • Strong proficiency in Python and common machine learning frameworks.
  • Experience designing experiments, analyzing model performance, and working with large datasets.
  • Strong understanding of supervised learning, model evaluation, and statistical analysis.
  • Experience building or evaluating machine learning systems in production environments.
  • Ability to communicate technical findings clearly to engineering, product, and business stakeholders.

Preferred Qualifications:
  • Experience with supervised fine-tuning, preference optimization, or other LLM post-training techniques.
  • Experience creating synthetic training data or model-generated datasets.
  • Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement systems.
  • Familiarity with agentic AI systems, tool use, and retrieval-based applications.
  • Experience working with enterprise, financial, legal, operational, or other domain-specific AI applications.
  • Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.

$133,100 - $213,200 a year
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.
Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.
HSA/FSA options and employer-paid disability benefits provided for eligible employees.
Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.
Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.
Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.
Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.
Bi-annual swag drops for employees
Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles.
Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.
It's a great place to work! Will you join us?
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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