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Full Stack Data Analyst Jobs in Lindon, UT (NOW HIRING)

Crumbl

Full Stack Engineer

Provo, UT · On-site

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

Crumbl

Full Stack Engineer

Provo, UT · On-site

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

Crumbl

Full Stack Engineer

Provo, UT

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

Utah Mammoth

Full-Stack Software Engineer

Sandy, UT · On-site

The ideal candidate combines strong full-stack engineering skills with excellent data analysis and visualization instincts. Strong product sense and usability are critical. This is a highly ...

Utah Mammoth

Full-Stack Software Engineer

Sandy, UT · On-site

The ideal candidate combines strong full-stack engineering skills with excellent data analysis and visualization instincts. Strong product sense and usability are critical. This is a highly ...

NICE

Senior Full Stack Engineer

Sandy, UT · Hybrid

Architect and implement APIs, services, and data models * Improve system reliability, observability ... Troubleshoot production issues and drive root cause analysis Have you got what it takes? * 7+ years ...

NICE

Senior Full Stack Engineer

Sandy, UT · On-site

Architect and implement APIs, services, and data models * Improve system reliability, observability ... Troubleshoot production issues and drive root cause analysis Have you got what it takes? * 7+ years ...

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All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Lindon, UT

Full Stack Data Analyst information

See Lindon, UT salary details

$30.7K

$74.5K

$122.7K

How much do full stack data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for full stack data analyst in Lindon, UT is $74,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

Full Stack Data Analyst jobs near you
Full Stack Developer (Integrations & Data Focus)

Full Stack Developer (Integrations & Data Focus)

Opiniion Inc.

Lehi, UT • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Opiniion Inc. is a resident satisfaction software company that partners with property management companies to enhance living experiences. The Full Stack Developer will be responsible for building and improving integrations and data pipelines, ensuring the reliability of production integrations, and contributing across the full stack as priorities change.
Responsibilities:
• Build, maintain, and extend integrations with property management systems including Yardi, RealPage, and Entrata, handling API communication, authentication, data mapping, and error recovery.
• Design integration patterns that are reusable across PMS platforms, reducing the effort to onboard new partners and data sources.
• Own the reliability of production integrations: monitoring, alerting, retry logic, and incident response when pipelines fail or degrade.
• Build and maintain ETL pipelines that ingest, transform, and load data from external PMS platforms and internal sources into our data infrastructure, including performant SQL transformations.
• Partner with analytics engineering to keep upstream data quality high so downstream dashboards and reporting stay trustworthy.
• Contribute across the full stack, from front-end product work to back-end services, as the team's priorities move.
Qualifications:
Required:
• 5+ years of professional software engineering experience.
• True full-stack range: comfortable on the front end (JavaScript or TypeScript with a modern framework, Vue preferred, React welcome) and on the back end (services and APIs in Node.js and/or Python).
• Strong SQL and solid relational data fundamentals (joins, CTEs, window functions, indexing).
• Experience designing and consuming REST APIs, including auth flows (OAuth, API keys, token refresh), pagination, rate limiting, and error handling.
• Comfortable in AWS (RDS, S3, ECS or Lambda, IAM basics) and using Docker for local development.
• Disciplined with Git, pull requests, CI/CD, testing, and clear documentation.
• Meaningful time spent on integrations, ETL, or data engineering work.
• Strong Python proficiency for building services, scripts, and pipeline logic.
• Ownership mindset: you treat what you ship as your responsibility, not just your code. When something breaks, you care about the fix and the prevention.
• Strong communicator: you set clear expectations, surface problems early, and write things down so the team doesn't run on tribal knowledge.
• Collaborative and low-ego: you give thoughtful code reviews, help teammates through blockers, and keep learning.
• Autonomous: you can take a well-scoped problem and drive it to done, while knowing when to ask for help.
Preferred:
• Experience integrating with property management systems (Yardi, RealPage, Entrata) or other proptech platforms.
• Familiarity with ETL/ELT tooling (Fivetran, Airflow, or custom pipeline orchestration).
• Ruby on Rails experience.
• Databricks or Spark SQL experience.
• Experience with MongoDB or other NoSQL data sources.
Company:
Opiniion is an industry leading resident satisfaction software. Founded in 2017, the company is headquartered in Lindon, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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