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Data Analyst Data Science Jobs in Draper, UT (NOW HIRING)

BYU Pathway

IT Data Scientist

Bluffdale, UT · On-site

... science solution Create scalable, efficient, automated processes for data analysis and machine learning models Work closely with data engineers and product managers to turn data analysis into ...

FASHIONPHILE

VoC Analyst

Lehi, UT · On-site

Partner with Data Science on segment migration analytics and loyalty program measurement, including cohort definition and attribution logic. * Maintain and optimize FASHIONPHILE's Qualtrics instance ...

Utah Transit Authority

Data Analyst

Salt Lake City, UT · On-site

$73K/yr

Utah Transit Authority Description As a Data Analyst you will: * Direct and develop initiatives to improve quality, financial viability, sustainability and efficiency of services offered by the ...

New

Fashionphile

Data Analyst, CX

Lehi, UT · On-site

Partner with Data Science on segment migration analytics and loyalty program measurement, including cohort definition and attribution logic. * Maintain and optimize FASHIONPHILE's Qualtrics instance ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Draper, UT

Data Analyst Data Science information

See Draper, UT salary details

$31.8K

$77.3K

$127.1K

How much do data analyst data science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data analyst data science 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 does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Draper, UT?

For Data Analyst Data Science jobs in Draper, UT, the most frequently searched job titles are:

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

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

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

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

Data Analyst Data Science jobs near you

Senior Data Analyst

Salt Lake City, UT • On-site

Doma Technology LLC
See more jobs at Doma Technology LLCexternal

$9.2K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma Technology.About Us  

Doma Technology LLC offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction.

Our Values
  • Obsessively Entrepreneurial - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way.
  • People First - We communicate with honesty and respect to our customers, colleagues, and partners.
  • Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives.
  • Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices.

Doma is looking for a Senior Data Analyst to own and evolve Looker, the business intelligence platform our Operations teams rely on for real-time, day-to-day reporting — SLAs, exception management, escalations, hands-on time reporting, turnaround times, vendor management, and more. You'll be the primary point of contact for Looker across the company: owning the connectivity between Snowflake and our other source data and Looker end-to-end, building and maintaining the dashboards that keep Operations running, safeguarding data quality and provenance, and partnering with Finance, Data Science, and other business units on their reporting needs. We're also looking for someone excited about what comes next — ideally with experience building or working hands-on with AI/agentic reporting tools — to help us build an agentic reporting layer on that same underlying data so business users can self-serve ad hoc questions that don't require long term dashboards.


You're fired up to:
•     Use your raw data analysis intuition to revolutionize a 150-year-old industry
•     Own, build, and maintain the Looker dashboards and data models that Operations, Finance, and Data Science depend on every day
•     Own the connectivity between Snowflake and other source data and Looker — the pipelines, data models, and integrations that keep our reporting layer accurate and current end-to-end
•     Be the primary point of contact for Looker company-wide — fielding requests, triaging issues, and setting standards for how dashboards get built
•     Oversee data quality and data provenance across our reporting layer
•     Play a key role in day-to-day operational decision-making — SLAs, exception management, escalations, hands-on time reporting, turnarounds, and vendor management — through rapid delivery of insights
•     Design and help build an agentic reporting layer on top of our existing data — working hands-on with AI reporting agents so business users can self-serve ad hoc requests instead of filing a ticket
•     Learn and leverage the ins and outs of a complex, valuable problem domain in title insurance and real estate

You definitely have:
•     3-5 years contributing to data analytics, business intelligence, or data science projects, ideally across a variety of professional contexts (e.g. start-ups and large companies, or consumer- and business-facing applications)
•     Professional experience using Looker — LookML, dashboard design, and data modeling
•     Ability to write complex SQL joins in your sleep
•     Professional experience writing code with proficiency in Python, git, and similar tools
•     Ability to communicate technical concepts to people throughout the company, including business partners in Operations, Product, and senior leadership
•     Strong opinions, loosely held, about all things data

You might even have:
•     Ideally, hands-on experience building, configuring, or working with AI/LLM-based reporting agents or similar agentic analytics tooling — prompt design, pipeline setup, and keeping an agent grounded in accurate underlying data
•     Experience owning data pipelines or connectivity between a warehouse (e.g. Snowflake) and a BI tool like Looker
•     Experience in the domains of risk, real estate, title, and/or insurance
•     Experience owning data quality or governance for a BI platform at scale

Shown below is the lowest to highest base salary we in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the range may be modified in the future.  An employee's pay position within the base salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs.  At Doma, compensation decisions are dependent on the facts and circumstances of each case.

This job is also eligible for the following compensation components: Bonus

The base salary range for this role is shown below:
$92,000—$120,000 USD
How we'll value you and make your life a bit easier:

We offer a comprehensive package of benefits to eligible employees (FTE, non-contract): medical/dental/vision insurance, 401(k), generous vacation time, and paid bonding leave.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

We believe the most valuable investment we can make is to build an outstanding team of colleagues and leaders who are passionate about our mission.

We currently offer the following benefits to all Full-Time employees:

  • Work/Life Balance - We encourage taking Paid Time Off (PTO)!
  • 12 Weeks of Paid Family Bonding Leave (Maternity and Paternity)
  • Incredible medical, dental, and vision benefits options to allow you to customize to you and your family's needs that all start in the following month following your first day of employment
  • Health Savings Account (HSA)
  • 401K with company match program
  • Short-Term & Long-Term Disability
  • Supplemental Life and AD&D Insurance
  • Critical Illness, Injury and Hospital Insurance 
We believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.