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Remote Bi Jobs in Orem, UT (NOW HIRING)

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ... Bi-annual swag drops for employees Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas ...

Lantern

Strategy Analyst

Orem, UT · Remote

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits * Medical Insurance

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Remote Bi information

See Orem, UT salary details

$31

$53

$72

How much do remote bi jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote bi in Orem, UT is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $58.51 per hour, depending on experience, location, and employer.

What is a remote BI?

Remote BI (Business Intelligence) jobs involve analyzing data, creating reports, and providing insights to help organizations make informed decisions, all while working from a location outside of a traditional office. These roles typically require expertise in data visualization tools, SQL, and data modeling. Remote BI professionals collaborate with teams via digital communication tools and often work with cloud-based data platforms to access and analyze company data.

What skills and qualifications are needed to thrive as a remote BI analyst?

To thrive as a Remote Business Intelligence (BI) Analyst, you need strong analytical abilities, data visualization expertise, and proficiency in statistics, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with BI tools such as Tableau, Power BI, SQL, and data warehousing systems, as well as certifications like Microsoft Certified: Data Analyst Associate, are often required. Excellent communication, problem-solving, and self-motivation are vital soft skills for remote collaboration and clear reporting of insights. These skills and qualities are crucial for translating complex data into actionable business strategies, especially in a remote environment where independent work and clear virtual communication are essential.

How does working as a remote BI professional impact collaboration with cross-functional teams?

As a remote BI professional, you'll frequently collaborate with stakeholders from various departments such as IT, marketing, finance, and operations. Effective communication is key since much of the collaboration happens through virtual meetings, shared dashboards, and project management tools. While remote work offers flexibility, it also requires proactive outreach and clear documentation to ensure alignment on data requirements and deliverables. Many teams use platforms like Slack, Microsoft Teams, or Jira to facilitate real-time updates and feedback, ensuring smooth project execution despite physical distance.

What is the difference between Remote Bi vs Remote Data Analyst?

AspectRemote BiRemote Data Analyst
Required CredentialsBusiness Intelligence certifications, SQL, data visualization skillsStatistics, SQL, data analysis tools, possibly certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentCollaborates with business teams, uses BI tools like Tableau, Power BIAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, marketing for strategic insightsCommon across finance, healthcare, retail for data-driven decisions

Remote Bi and Remote Data Analyst roles share skills like SQL and data visualization but differ mainly in focus. Remote Bi emphasizes business insights and strategic reporting, while Remote Data Analysts focus on data analysis and reporting. Both roles are vital in data-driven industries and often overlap in skills and tools.

What are popular job titles related to Remote Bi jobs in Orem, UT?

For Remote Bi jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Remote Bi jobs in Orem, UT look for?

The top searched job categories for Remote Bi jobs in Orem, UT are:

What cities near Orem, UT are hiring for Remote Bi jobs?

Cities near Orem, UT with the most Remote Bi job openings:

Remote Bi jobs near you
Infographic showing various Remote Bi job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,550 per year, or $53.1 per hour.

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 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 Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Responsibilities
  • Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.
  • Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.
  • Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.
  • Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.
  • Optimize model inference, serving, and deployment for performance, cost, and scalability.
  • Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.
  • Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.
Minimum Qualifications
  • 5+ years of software engineering or machine learning engineering experience.
  • Hands-on experience fine-tuning, adapting, or deploying large language models.
  • Strong proficiency with Python and PyTorch or similar deep learning frameworks.
  • Experience building ML data pipelines, training workflows, and evaluation systems.
  • Experience deploying machine learning models into production environments.
  • Familiarity with modern LLM tooling, model serving, and inference frameworks.
  • Strong understanding of machine learning fundamentals and model performance tradeoffs.
Preferred Qualifications
  • Experience with supervised fine-tuning, preference optimization, or related post-training techniques.
  • Experience building agentic systems, tool-using models, or retrieval-based AI applications.
  • Experience with distributed training or GPU-based model workloads.
  • Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.
  • Experience working with enterprise or domain-specific AI applications.
  • Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.
$144,000 - $233,100 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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