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Intermediate Data Analyst Jobs in Utah (NOW HIRING)

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision ... Basic to intermediate skills in Excel: Pivot tables, etc. - Strong communication skills, both ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... Basic to intermediate skills in Excel: Pivot tables, etc. - Strong communication skills, both ...

Data and Analytics **Job Subfunction:**Data Science and Analytics** **MRM is part of the Omnicom ... Basic to intermediate skills in Excel: Pivot tables, etc. - Strong communication skills, both ...

Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.* Collaborate with business units, analysts, and stakeholders to gather requirements ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery. * Collaborate with business units, analysts, and stakeholders to gather ...

Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery. * Collaborate with business units, analysts, and stakeholders to gather ...

Data Analysis Tutor

Provo, UT ยท Remote

$40/hr

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

Data Analysis Tutor

Logan, UT ยท Remote

$40/hr

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

It is not a data engineering role, and it does not involve building data pipelines, warehouses, or ... Basic to intermediate SQL skills for querying HRIS or reporting databases, or strong willingness ...

Itis not a data engineering role, and it does not involve building data pipelines, warehouses, or ... Basic to intermediate SQL skills for querying HRIS or reporting databases, or strong willingness ...

It is not a data engineering role, and it does not involve building data pipelines, warehouses, or ... Basic to intermediate SQL skills for querying HRIS or reporting databases, or strong willingness ...

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Intermediate Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do intermediate data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for intermediate data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is an intermediate data analyst?

Intermediate Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They possess solid analytical skills, working knowledge of data analysis tools, and the ability to interpret complex data sets. Typically, they have some experience beyond entry-level roles and can handle more advanced tasks such as building reports, creating dashboards, and supporting business strategies with data-driven insights. Their work often involves collaborating with other teams to identify trends and provide actionable recommendations.

How does an intermediate data analyst typically collaborate with other departments within an organization?

As an Intermediate Data Analyst, you'll frequently work alongside teams such as marketing, finance, operations, and IT to gather requirements, interpret data needs, and deliver actionable insights. You may be responsible for translating business questions into analytical tasks, sharing findings through presentations or dashboards, and supporting decision-making processes. Collaboration often involves participating in cross-functional meetings, clarifying data definitions, and ensuring that analysis aligns with organizational goals. Building strong relationships with stakeholders is key to understanding their challenges and ensuring your work has maximum impact.

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

To thrive as an Intermediate Data Analyst, you need strong analytical skills, experience with data manipulation and statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, effective problem-solving, and clear communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate analyses that drive informed business decisions.

Is it still worth it to become a data analyst in 2026?

Data analyst roles remain valuable in 2026 as organizations continue to rely on data-driven decision-making, with skills in SQL, Excel, and data visualization tools like Tableau or Power BI in demand. The role often requires strong analytical skills, familiarity with programming languages such as Python or R, and the ability to interpret complex data sets, making it a stable career choice for those with relevant skills. Continuous learning and certification can enhance job prospects in this evolving field.

What is intermediate level data analysis?

Intermediate data analysts perform more complex data analysis tasks than entry-level roles, including data cleaning, visualization, and basic statistical modeling using tools like Excel, SQL, or Python. They interpret data insights to support decision-making and often work with larger datasets and more advanced techniques than beginners.

What are the most commonly searched types of Data Analyst jobs in Utah?

The most popular types of Data Analyst jobs in Utah are:

What are popular job titles related to Intermediate Data Analyst jobs in Utah?

For Intermediate Data Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Intermediate Data Analyst jobs in Utah look for?

The top searched job categories for Intermediate Data Analyst jobs in Utah are:

Infographic showing various Intermediate Data Analyst job openings in Utah as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst

Salt Lake City, UT โ€ข Hybrid

Omnicom
Telecommunicationsย โ€ขย 1 - 10 employees

Full-time

Re-posted 7 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 theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management, and first-party data capabilities with creative excellence and performance capabilities, enablingOmnicomto 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 visitwww.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.


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