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Software Engineer Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst

Salt Lake City, UT ยท On-site

$60 - $85/hr

Data and Analytics **Job Subfunction:**Data Science and Analytics** **MRM is part of the Omnicom ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

New

Data Analyst

Lehi, UT ยท On-site

$65 - $90/hr

Summary The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

... data analysis, and related administrative activities. Required Skills and Abilities โ€ข Bachelor's degree in computer science, software engineering, or a related field, or equivalent practical ...

New

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

Job Responsibilities: * Member of a team of software engineers within the System Software ... Demonstrate highly analytical skills to evaluate technical data and programmatic data, from which ...

Job Responsibilities: * Member of a team of software engineers within the System Software ... Demonstrate highly analytical skills to evaluate technical data and programmatic data, from which ...

Full-stack clinical infrastructure spanning laboratory workflows, blood preservation, data analysis ... About the Role You'll join as the second software engineer, reporting directly to the co-founder ...

New

Assists in the analysis of underlying issues arising from investigations into requirements. Assists ... May have prior experience as a Programmer and/or Service Delivery Engineer within a technical ...

The software engineer develops, maintains, and enhances complex and diverse software systems (e.g. processing-intensive analytics, novel algorithm development, manipulation of extremely large data ...

The software engineer develops, maintains, and enhances complex and diverse software systems (e.g. processing-intensive analytics, novel algorithm development, manipulation of extremely large data ...

Showing results 21-40

Software Engineer Data Analyst information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities in Utah are hiring for Software Engineer Data Analyst jobs?

Cities in Utah with the most Software Engineer Data Analyst job openings:

Data Analyst

MRM

Salt Lake City, UT โ€ข On-site

$60 - $85/hr

Other

Posted yesterday

New


Job description

## Data AnalystApplyremote type: Hybridlocations: Salt Lake City, Utah, United States of Americatime type: Full timeposted on: Posted 2 Days Agojob requisition id: 6764-AM**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 donโ€™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): - Bachelorโ€™s degree preferably in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 yearsโ€™ 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 โ€˜group byโ€™ 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 dataโ€”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. *Omnicomโ€™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 Omnicomโ€™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 weโ€™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 usโ€”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.* #J-18808-Ljbffr