Lehi, UT

Data Jobs in Lehi, UT

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Today

Data Analyst (AI)

Reef Capital Partners Lehi, UT

Lehi, UT

Today

$80k - $110k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Reef Capital Partners is hiring an AI-forward Data Analyst (AI) in Lehi, UT (onsite) to turn business questions into trusted metrics, dashboards, and analysis using Reef Analytics and AI coding tools.

Responsibilities

Partner with stakeholders, including executives, to gather, clarify, and translate business questions into defined metrics and analytical solutions
Own data-request complexity and ambiguity: ask the right questions, close gaps, and deliver finished outputs
Deliver white-glove analytics work with clear communication from request to delivery, plus follow-through after launch
Analyze business processes to identify key metrics, KPIs, and data-driven improvement opportunities
Define data elements and maintain data dictionaries, glossaries, and metadata for consistent organizational understanding
Design logical and conceptual data models to support reporting, analytics, and dashboard needs
Validate and test dashboard data before release to ensure accuracy and consistency
Collaborate with the Data Engineer to resolve discrepancies and address issues at the source
Build and maintain dashboards in Reef Analytics using AI coding tools (Claude Code, Cursor, or similar) as a primary development partner
Use AI as a coding partner: review AI-generated code and queries critically, fix failures, and cover work AI cannot complete alone
Apply data visualization and dashboard design best practices so executives can read and trust results
Ship through Git and GitHub pull requests with code review
Create self-service reporting solutions that support independent exploration while following governance standards
Develop ad-hoc reports and automated recurring reports for operational and executive decision-making
Perform exploratory data analysis to uncover insights, trends, patterns, and anomalies
Provide actionable recommendations tied to business objectives
Monitor dashboard usage and performance, then iterate based on user feedback
Support data governance, including documentation of data lineage, security classifications, and best practices
Work with the Data Engineer on integration projects and pipeline enhancements to expand data availability
Train and support end-users on dashboard tools and data interpretation
Scope, break down, and track work in Jira with clear tickets, acceptance criteria, and priorities for people and AI agents
Manage a portfolio of stakeholder requests: set expectations, sequence work, and keep stakeholders informed
Convert ambiguous requests into well-defined specifications for AI agent build cycles, then verify outcomes

Requirements

Bachelor’s degree in Data Analytics, Business Intelligence, Computer Science, Statistics, Information Systems, or a related field
3+ years of experience in data analysis, business intelligence, or a similar role (data engineering experience is a plus)
Strong business acumen to translate complex data into clear, actionable insights for non-technical stakeholders
Experience building dashboards in Power BI, Tableau, Looker, or similar tools, with strong visualization and dashboard design fundamentals
Solid SQL skills for querying and manipulating data; Snowflake SQL is highly desirable
Familiarity with enterprise apps such as Salesforce, Microsoft 365, HubSpot, and data platforms (e.g., Snowflake, AWS S3, Microsoft Fabric, data lakes)
Experience with data modeling, creating data dictionaries, and defining business metrics
Excellent communication skills for presenting to both technical and business audiences
Strong problem-solving and analytical thinking with attention to detail
Ability to manage multiple priorities and collaborate across cross-functional teams
Familiarity with project management basics (Kanban, Agile/Scrum, Waterfall) and tools like Jira
Nice to have: experience with FinOps or spend analysis (cloud, software, or AI usage costs), plus hands-on ETL experience and tools such as Power Query, SQL-based transformations, or integration platforms

Technologies

Claude Code, Cursor
Git, GitHub
Power BI, Tableau, Looker
SQL, Snowflake SQL
Salesforce, Microsoft 365, HubSpot
Snowflake, AWS S3, Microsoft Fabric
Jira, Power Query

Benefits

401(k) plan with company match
Generous health plan with HSA match
Flexible paid time-off
Daily company lunches
Cell phone service allowance
Discounts at company-owned resorts and golf courses

Salary: $80,000-$110,000 (per year)

Location: Lehi, UT (onsite)

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1mo ago

Sr. Machine Learning Engineer

Pattern Lehi, UT

Lehi, UT

1mo ago Closed

Full time Senior Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Oct 20, 2026).

Job Description

Pattern builds a generative content platform that produces AI-generated titles, bullets, A+ modules, and imagery. In this full-time, hybrid role based in Lehi, UT, you will own evaluation systems and drive model-side quality improvements that help the content engine produce stronger outcomes with less rework.

What you’ll do

Build and maintain the datasets, rubrics, and automated judges used to evaluate the effectiveness of changes to the content engine.
Convert brand rejection reasons into structured, labeled training data that supports the next round of model improvements.
Develop ways to quantify qualitative improvements in generated content.
Decide and defend approval thresholds for generated content in partnership with data science and brand teams.
Create quality gates that catch problematic outputs before they reach brand review, reducing pipeline rework cycles.

What you bring

Strong code and system design experience in any language or stack.
3+ years owning production software services end to end.
Formal statistics or machine learning training or a defensible equivalent depth built on the job.
Experience engineering systems with non-deterministic outputs, where correctness is measured rather than assumed.
Nice to have: Fine-tuning (LoRA/PEFT), hands-on LLM or generative media production work, evaluation-system ownership, multimodal evaluation, e-commerce domain knowledge, human-labeling operations, or A/B testing infrastructure.

Benefits and support

Unlimited PTO
Paid Holidays
Onsite Fitness Center
Company Paid Life Insurance
Casual Dress Code
Competitive Pay
Health, Vision, and Dental Insurance
401(k) match: Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.

Growth at Pattern

Pattern emphasizes internal mobility and professional development. This role sits at the intersection of software engineering and data science on one of Pattern’s most visible AI systems. You will build expertise in evaluation design, fine-tuning, and production ML, preparing you for senior individual contributor or technical leadership tracks across Pattern’s broader AI and generative content initiatives.

First 30, 60, 90 days

30 Days: Complete onboarding, learn the generative content pipeline plus existing evaluation datasets and rubrics, and contribute to an existing regression suite.
60 Days: Own a defined slice of the evaluation system end to end (for example, judges and thresholds for a specific content type) and begin converting brand rejection reasons into labeled training data.
90 Days: Independently drive a fine-tuning or retrieval experiment from hypothesis to validated result, with at least one quality gate live in production catching issues before brand review.

How you’ll be evaluated

Game changers bring open-minded problem solving, share new ideas, reassess plans with realistic timelines, and pursue improvements to processes and outcomes.
Data fanatics use data to form unbiased conclusions and track results through data after solutions are implemented.
Partner obsessed team members communicate status clearly, rely on constructive feedback, actively listen to expectations, and deliver results that exceed them.
Team of doers supports teammates, takes initiative, and holds themselves accountable to both the team and partners.

Hiring process

Initial phone interview with Pattern’s talent acquisition team
Video technical interview
Onsite interview with hiring manager and a panel of department leaders
Professional reference checks
Executive review
Offer

How to stand out

Share accomplishments with specific data to quantify impact.
Explain how you would add value and why you would be a strong fit for the team.
Highlight how you would be partner obsessed at Pattern.
Include experience from side projects related to data and analytics.

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5mo ago

Data Engineer

Serenity Mental Health Centers Lehi, UT

Lehi, UT

5mo ago Closed

Full time Analytics Cloud Operations Data Analysis

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Serenity Mental Health Centers is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that support analytics and patient outcomes. The full-time, onsite role in Lehi, Utah focuses on delivering reliable data capabilities that empower analytics and care.

Responsibilities

Design, implement, and maintain scalable data pipelines and ETL workflows
Develop and optimize data architectures to improve analytics performance and reliability
Incorporate data from diverse sources, including electronic health records and medical devices
Ensure data quality, consistency, and governance across platforms
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Support the deployment and monitoring of data infrastructure in cloud environments
Contribute to ongoing improvements of data engineering standards and documentation

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; master's preferred
5+ years of experience in data engineering or related roles
Strong SQL and Python skills for data manipulation and workflow automation
Solid experience with ETL tools and data pipeline frameworks, including SSIS, Apache Airflow, and dbt
Understanding of data governance, data quality, and security best practices
Excellent communication and ability to collaborate across teams
Interest in mental health and using data to drive impact
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus

Technologies

SQL
Python
SQL Server
SSIS
Apache Airflow
dbt
AWS
Azure
Google Cloud Platform

Benefits

Competitive salary
Excellent benefits with 90% coverage for medical, dental, and vision
401(k) plan with employer investment
Paid time off including 10 PTO days (15 after first year) plus 10 paid holidays

Why Join Us

High impact role with direct influence on growth and strategy
Opportunity to build a modern data platform from the ground up
Collaborative leadership and a team-driven environment
Make a measurable impact through data-driven decision making

Who We Are

Serenity Mental Health Centers is a leading provider of in-person psychiatry services across multiple states, emphasizing technology-driven patient care and innovation. The organization combines cutting-edge medical devices with FDA approved treatments to support patients facing depression, anxiety, ADHD, and OCD, achieving an 84% success rate. This role offers a chance to contribute meaningfully where it matters.

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Data Jobs in Lehi, UT

Data Analyst (AI)

Sr. Machine Learning Engineer

Data Engineer

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