1

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

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... in a timely fashion. - Assist in website analytics initiatives, including website tag ...

Analyst, AI & Analytics - Executive and Equity Compensation * Analytics across various domains is ... Develop AI-enabled workflows, assistants, or agents that are grounded in approved data and ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Support cross functional stakeholders with scalable reporting architecture * Assist in high-priority analytics platform issues Who you are: * You are an expert in Power BI data modeling and Power BI ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Support cross functional stakeholders with scalable reporting architecture * Assist in high-priority analytics platform issues Who you are: * You are an expert in Power BI data modeling and Power BI ...

Solution Mapping and Design * Assist in evaluating and identifying appropriate data, analytics, and AI/ML approaches that align with business requirements. * Contribute to the design of scalable and ...

... * Assist with annual benefits planning, forecasting, and budget management by providing data analysis and reporting that supports informed decision-making. * Support 401(k) plan administration and ...

... data to support pricing strategies and business recommendations * Maintains and supports pricing models, reports, dashboards, and analytical tools * Works directly with Sales Operations to assist in ...

next page

Showing results 1-20

Assistant Data Analyst information

See Layton, UT salary details

$25.4K

$65.1K

$124.5K

How much do assistant data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for assistant data analyst in Layton, UT is $65,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $75,900.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are the most commonly searched types of Data Analyst jobs in Layton, UT?

The most popular types of Data Analyst jobs in Layton, UT are:

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

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

Infographic showing various Assistant Data Analyst 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 $65,120 per year, or $31.3 per hour.

Data Analyst

Omnicom

Salt Lake City, UT • On-site

Full-time

Posted 18 days ago


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.