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Analytics Developer Jobs in Utah (NOW HIRING)

ZAGG Inc

Director, Analytics

Midvale, UT · On-site

Deliver a clear, prioritized remediation plan and begin implementation in partnership with the Analytics Engineer and Tagging amp; Tracking Specialist contractors. * Establish a unified reporting ...

mophie

Director, Analytics

Midvale, UT · On-site

Deliver a clear, prioritized remediation plan and begin implementation in partnership with the Analytics Engineer and Tagging amp; Tracking Specialist contractors. * Establish a unified reporting ...

Zions Bank

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

Lead and develop data analysts, analytics engineers, and technical leads. * Other duties as assigned Qualifications: * 8+ years of experience in technical finance functions, data management ...

ZAGG, Inc.

Director, Analytics

Midvale, UT · On-site

Deliver a clear, prioritized remediation plan and begin implementation in partnership with the Analytics Engineer and Tagging & Tracking Specialist contractors. * Establish a unified reporting ...

Opiniion

Analytics Engineer - Finance / GTM

Lehi, UT · On-site

As our Analytics Engineer - Finance / GTM, you'll build and own the datasets and reporting that the company runs on. You'll turn data from various sources (NetSuite, HubSpot, etc.) into clean ...

ARUP

Senior Analytics Engineer

Salt Lake City, UT · On-site

$100K - $138K/yr

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world-class laboratory functions. Works with Information ...

Opiniion

Analytics Engineer - Finance / GTM

Lehi, UT · On-site

As our Analytics Engineer - Finance / GTM, you'll build and own the datasets and reporting that the company runs on. You'll turn data from various sources (NetSuite, HubSpot, etc.) into clean ...

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How much do analytics developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for analytics developer in Utah is $47.57, according to ZipRecruiter salary data. Most workers in this role earn between $34.57 and $59.33 per hour, depending on experience, location, and employer.

What is an analytics developer?

An Analytics Developer is responsible for designing, developing, and implementing data analytics solutions to help organizations make data-driven decisions. They work with large datasets, create reports, dashboards, and visualizations, and develop algorithms or scripts to automate data processing. Their role often involves using programming languages like Python, SQL, or R and working with BI tools such as Tableau or Power BI. They collaborate with data engineers, analysts, and business stakeholders to ensure data accuracy and usability.

What does an analytics developer do?

As an Analytics Developer, your day-to-day work will often involve extracting, transforming, and analyzing large volumes of data to provide meaningful insights for business stakeholders. You may develop data pipelines, build dashboards, or create custom analytics solutions to support different departments, such as marketing, finance, or operations. Expect to collaborate frequently with data engineers, business analysts, and sometimes directly with management to clarify requirements and deliver impactful results. Projects can range from automating reports and tracking KPIs to implementing predictive models and advising on data-driven strategies.

What are the key skills and qualifications needed to thrive as an analytics developer?

To thrive as an Analytics Developer, you need a strong background in data analysis, SQL, and programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with business intelligence platforms (such as Tableau or Power BI), data modeling tools, and certifications in analytics or cloud services are commonly required. Analytical thinking, attention to detail, and excellent communication skills help you translate data insights into actionable business strategies and collaborate with cross-functional teams. These abilities are vital for turning complex data sets into valuable information that drives decision-making and business growth.

What are the most commonly searched types of Analytics Developer jobs in Utah?

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Analytics Developer jobs near you
Infographic showing various Analytics Developer job openings in Utah as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $98,951 per year, or $47.6 per hour.

Senior Analytics Engineer

Salt Lake City, UT • On-site

ARUP Laboratories, Inc
Health Care and Social Assistance • 1 - 5K employees
Learn more about ARUP Laboratories, Incexternal

$101K - $138K/yr

Other

This job post has expired today. Applications are no longer accepted.

ARUP Laboratories rating

7.3

Company rating: 7.3 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

Job description

Location:

ARUP Main
500 Chipeta Way
Salt Lake City, UT 84102
USA

Schedule :
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM

Department: Biocomputing - 331

Primary Purpose

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world‑class laboratory functions. Works with Information Technology Staff, Medical Directors, and Lab Managers to understand the nuances of our laboratory operations to augment our data model for modern analytics tooling.

About ARUP

ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.

Essential Functions
  • Apply software engineering best practices (version control, modularity, automated testing, etc.) to our data transformation layer using industry‑standard frameworks such as dbt.
  • Architect and optimize the query layer to ensure performant analytics across our data lake and warehouse using serverless or managed technologies like Athena, Redshift, or BigQuery.
  • Own the ingestion and orchestration frameworks that stitch together disparate clinical data sources using modern tools such as Glue, Airflow, or Dagster.
  • Lead the modernization of ARUP’s data ontology for specific clinical and business domains such as Laboratory Operations, Revenue Cycle, Genomics, and Quality Control.
  • Contribute to the long‑term technical roadmap for our data platform, informing high‑level decisions on how to scale cloud‑based storage and compute to handle high‑volume data.
  • Collaborate with leadership to collect requirements and write the code for Secure, Timely, Accurate, Trusted, and Extensible (STATE) data products.
  • Other duties as assigned.
Physical and Other Requirements
  • Stooping: bending body downward and forward by bending spine at the waist.
  • Reaching: extending hand(s) and arm(s) in any direction.
  • Mobility: occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
  • Communicate: frequently communicate with others.
  • PPE: work in a biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
  • ARUP Policies and Procedures: conduct oneself in compliance with all ARUP policies and procedures.
  • Sedentary Work: exert up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
  • Fine Motor Control: picking, pinching, typing or otherwise working primarily with fingers rather than with the whole hand.
  • Vision: having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.
Qualifications

Education

  • Required: Bachelor's Degree or better in Computer Science or related field.
  • Preferred: Master's Degree or better in Computer Science or related field.

Experience

  • Required: Six plus (6+) years of professional experience in data engineering, analytics engineering, or a related technical field, with a proven track record of architecting scalable data models in a cloud environment.
  • Preferred: Advanced degrees or specialized certifications; Expert SQL & Modeling; Cloud Infrastructure experience (AWS, GCP, or Azure); Programming proficiency in Python or R.

Licenses & Certifications

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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