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Remote Data Analyst Hybrid Jobs in Draper, UT (NOW HIRING)

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Perform model error analysis and identify opportunities to improve model behavior and output ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Perform model error analysis and identify opportunities to improve model behavior and output ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

New

Direct Counsel

Senior Conflicts Analyst

Salt Lake City, UT · On-site +1

$100K - $120K/yr

... data projects and suggest system improvements to enhance workflow and efficiency. * Serve as a ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

Hexcel Corporation

R&D Data Scientist

Salt Lake City, UT · On-site +1

... hybrid approaches. * Experience modeling complex physical, chemical, or manufacturing systems. * Strong analytical and problem-solving skills with the ability to connect physical processes to data ...

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All JobsData Analyst Hybrid JobsRemote Data Analyst Hybrid JobsRemote Data Analyst Hybrid Jobs in Draper, UT

Remote Data Analyst Hybrid information

See Draper, UT salary details

$31.8K

$77.3K

$127.1K

How much do remote data analyst hybrid jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data analyst hybrid in Draper, UT is $77,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Analyst Hybrid vs Remote Data Scientist?

AspectRemote Data Analyst HybridRemote Data Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPartially remote, often in office and home; collaborative teamsPrimarily remote; independent research and complex analysis
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, research institutions, AI companies

Remote Data Analyst Hybrid roles focus on analyzing data using tools like Excel and SQL, often in a hybrid work setting. Remote Data Scientists handle advanced modeling and machine learning, typically working fully remotely. Both roles require strong analytical skills but differ in complexity and technical depth.

Can you work fully remote as a remote data analyst hybrid?

A remote data analyst hybrid role typically involves working both remotely and on-site, with the proportion of remote work varying by employer. Some companies may allow full remote work, while others require periodic or full-time on-site presence depending on company policies and project needs. It is important to clarify the specific job's remote work expectations during the application process.

Is it still worth it to become a remote data analyst hybrid in 2026?

A remote data analyst hybrid role remains valuable in 2026 due to ongoing demand for data-driven decision-making and the flexibility of remote work. Success in this role typically requires proficiency in tools like SQL, Excel, and data visualization software, along with strong analytical skills. The hybrid model offers a balance of remote work and in-person collaboration, which can enhance productivity and career growth.

What job categories do people searching Remote Data Analyst Hybrid jobs in Draper, UT look for?

The top searched job categories for Remote Data Analyst Hybrid jobs in Draper, UT are:

What cities near Draper, UT are hiring for Remote Data Analyst Hybrid jobs?

Cities near Draper, UT with the most Remote Data Analyst Hybrid job openings:

Remote Data Analyst Hybrid jobs near you

Senior Data Scientist

Entrata

Lehi, UT • On-site, Remote

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 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 245 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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