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

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management, and first-party data capabilities with ...

MRM

Data Analyst

Salt Lake City, UT · On-site

Data Science and Analytics** **MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data ...

Socket.dev

Data Analyst

Ogden, UT · On-site

Data Analyst HydroJug, Inc. -- Ogden, UT (On-Site) | Systems About the Role The Data Analyst -- Operations is the dedicated analytics resource for HydroJug's Operations and Warehouse teams. You will ...

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Technical Data Analyst

Salt Lake City, UT · On-site

$77K - $100K/yr

Bachelor's degree in Engineering, Data Science, Business Analytics, Computer Science, or a related field preferred; equivalent technical or industry experience will also be considered. * 2-5 years of ...

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

Data Analyst Data Science information

See Layton, UT salary details

$30.9K

$75.1K

$123.6K

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

As of Sep 9, 2026, the average yearly pay for data analyst data science in Layton, UT is $75,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,100.00 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 job categories do people searching Data Analyst Data Science jobs in Layton, UT look for?

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

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

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

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Layton, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,084 per year, or $36.1 per hour.

Data Analyst

Salt Lake City, UT • On-site

Omnicom
Telecommunications • 1 - 10 employees
Learn more about Omnicomexternal

Full-time

Re-posted 13 days ago

Key responsibilities

  • Handle routine reporting and presenting, primarily bi-weekly and quarterly reports.

  • Manage ad-hoc analytics questions and requests in a timely manner.

  • Assist in website analytics initiatives, including website tag implementation and running custom analytics reports.

Job description

Agency:
Omnicom Precision Marketing
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities with creative excellence and performance capabilities, enabling Omnicom to deliver intelligent activation across the full funnel with data-driven decisioning at scale to help clients move faster and deliver more connected customer experiences.
MRM is a modern relationship marketing agency dedicated to building enduring brand relationships. MRM's specialized capabilities drive relationship lifetime value and span CRM, Customer Experience, and Commerce with data and martech at the core. MRM operates in a borderless, integrated way to enable greater collaboration, creativity, and true speed to market. For more information, please visit www.mrm.com.
MRM is looking for a Data Analyst. The ideal candidate must be able to proactively communicate ideas and opportunities, as well as conduct in depth analysis to support client recommendations and insights. The candidate should have a solid background in measurement and performance analytics, with an openness to learn and expand skills.
Responsibilities:
- Handle routine reporting and presenting (primarily bi-weekly and eventually, quarterly reports).
- Manage ad-hoc analytics questions & requests in a timely fashion.
- Assist in website analytics initiatives, including website tag implementation in Google Tag Manager and running custom analytics reports using Google Analytics and Big Query.
- Create custom analytics dashboards in Tableau, PowerBI or similar tools.
- Assist in report automation.
- Assist in campaign planning and performance analysis.
Education and Experience:
(You don't have to be an expert in any of these, but we are looking for someone with a basic understanding and a willingness to learn / grow these skills):
- Bachelor's degree preferably in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 years' professional experience.
- Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their programming skills.
- Basic SQL capabilities: joining tables, using 'group by' clauses, case statements.
- Basic understanding of statistical concepts such as hypothesis testing, confidence intervals, statistical tests (chi-squared, etc) and how to use them.
- Knowledge or experience working within Google Tag Manager or Google Analytics.
- Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly, Seaborn, ggplot etc).
- Basic to intermediate skills in Excel: Pivot tables, etc.
- Strong communication skills, both written and verbal.
- Comfortable working independently (once properly on-boarded).
- Comfortable working in a fast-paced, cross-functional environment.
Preferred, but not required:
- Interest or background in machine learning / predictive modelling.
- Knowledge or experience working with Firebase.
- Experience working with scientific polling data-bonus if applicant has experience with large .sav files and either SPSS / pyreadstat.
- Experience with automated data collection (web scraping, APIs).
- Experience writing VBA macros a plus.
- Experienced and comfortable collaborating remotely.
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

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