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

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and interpreting manufacturing and supply chain data to support operational efficiency, inventory optimization ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

Safety Data Analyst

Salt Lake City, UT · On-site

$37K - $52K/yr

Analyze, compile, and report safety data to support all SkyWest safety programs. * Collect, analyze, and report safety assurance data from multiple safety data sources. * Identify, monitor, and ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... In this role, you will: • Develop analytics to address customer needs and opportunities. • Work ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... Develop analytics to address customer needs and opportunities. Work alongside software developers ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

New

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

Contribute to the design of scalable and practical analytics solutions that support business goals. * Collaboration and Communication * Work closely with data scientists, data engineers, and IT ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

Showing results 21-40

Data Analyst Data Science information

See Murray, UT salary details

$31.9K

$77.6K

$127.7K

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

As of Aug 9, 2026, the average yearly pay for data analyst data science in Murray, UT is $77,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

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 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 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 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.
What job categories do people searching Data Analyst Data Science jobs in Murray, UT look for? The top searched job categories for Data Analyst Data Science jobs in Murray, UT are:
What cities near Murray, UT are hiring for Data Analyst Data Science jobs? Cities near Murray, UT with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Murray, UT as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,600 per year, or $37.3 per hour.

Manager, Data Science & Modeling

Merrick Bank

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Join our team and build your career with momentum as we champion your growth, elevate your ideas and engage you in purpose-driven work that makes a real difference every day.
Who we are
Founded in 1997, Merrick Bank is an FDIC®-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers nationwide.
What we do
We provide credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data-driven insights to help underserved consumers build and strengthen credit while delivering integrated, scalable payment solutions for businesses.
Merrick Bank ranks among the top 20 FDIC®-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume.
Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions.
Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.
Essential Functions:
  • Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and account-level valuation domains.
  • Provide end-to-end ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
  • Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals. Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
  • Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
  • Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decision-making.
  • Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
  • Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.

Compliance with Laws and Regulations
  • Responsible for complying with all of the Bank's internal control policies and procedures.
  • Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
  • Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.

Additional Responsibilities
  • Perform other duties as assigned by senior management.
  • Maintain ethical standards, judgment, and confidentiality in all matters.

Requirements for Success:
Education & Experience:
  • Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required.
  • Advance Degree (Master's or PhD) in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is preferred.
  • Three (3) years of hands-on experience with a bachelor's degree, or two (2) year's hands-on experience with a master's degree, in quantitative fields (same as above).

Knowledge, Skills and Capabilities:
  • Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
  • Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
  • Strong verbal, written, and interpersonal communication skills.
  • Proven ability to collaborate effectively within cross-functional teams.
  • Ability to navigate ambiguity and work hands-on with complex business and technical challenges.
  • Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
  • High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one's sleeves.

#INDHP1
Why join us
We believe in putting people first by supporting our customers, employees and our partners while creating opportunities for everyone to reach their potential. From fostering work-life balance to rewarding good work and innovative ideas, we invest in what matters most, our people.
At Merrick Bank, you'll be part of a collaborative, customer-focused team where you can grow your career while making a meaningful impact.
Our Employee Value Proposition
  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.
We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.
If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.