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

Data Scientist

Riverton, UT ยท On-site

$140 - $210/hr

Analyze and protect data, including troubleshooting * Follow data science best practices * Fulfill the technical lead role for data science solutions * Respond to escalated incidents and engage ...

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 ...

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 ...

Required Qualifications : * 3-5 years of relevant experience in either data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a ...

Data Science Engineer

Lehi, UT

$107K - $129K/yr

Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities * Analyze data toidentifyor resolve operational problems to create ...

Data Scientist

Lehi, UT ยท On-site

$90 - $130/hr

Document analytical approaches and communicate findings * Support deployment and ongoing improvement of data science solutions Requirements * 2-4 years' experience in data science, analytics ...

Data Analyst

Lehi, UT ยท On-site

$70 - $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 Analyst

Lehi, UT ยท On-site

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 Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements ... Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

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 ...

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Showing results 1-20

Data Analyst Data Science information

See Holladay, UT salary details

$32.8K

$79.7K

$131.2K

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

As of Aug 26, 2026, the average yearly pay for data analyst data science in Holladay, UT is $79,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $93,500.00 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 cities near Holladay, UT are hiring for Data Analyst Data Science jobs?

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

Data Scientist

Riverton, UT โ€ข On-site

$140 - $210/hr

Other

Posted 4 days ago


Job description

  • Execute large-scale models using advanced analytical, modeling, and machine learning techniques
  • Create and support a cloud-based data science solution as part of the data intelligence team
  • Create scalable, efficient, automated processes for data analysis and machine learning models
  • Work closely with data engineers and product managers to turn data analysis into actionable algorithms
  • Champion a data-driven culture and develop data science capabilities
  • Create standards and procedures for data science teams
  • Provide direction for strategic plans and product roadmaps
  • Inform requirements related to creating, tracking, collecting, and accessing data
  • Analyze and protect data, including troubleshooting
  • Follow data science best practices
  • Fulfill the technical lead role for data science solutions
  • Respond to escalated incidents and engage vendors as necessary
  • Conduct research and evaluate emerging trends
  • Aid and mentor teammates
Requirements
  • Master's degree required
  • 12 years of relevant professional experience, including eight years supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms, including Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naรฏve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, and NLP
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and Keras
  • Significant experience with data mining and statistical analysis
  • Experience leading exploratory analysis with large datasets
  • Ability to lead knowledge discovery and machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert coding ability in an advanced coding language such as Python
  • Senior-level understanding of statistics and mathematics
  • Ability to work with large, complex datasets using SQL or Python
  • Quantitative aptitude and ability to gather and interpret data
  • Comprehensive knowledge of multiple fields of specialization
  • Expertise in automation and deployment
  • Experience in a structured, enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional written and verbal communication, including explaining complex concepts to non-technical audiences
  • Ability to mentor and train peers
  • Strong understanding of supported business processes
  • Troubleshooting ability under pressure and ability to resolve complex problems
  • Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
  • PhD degree preferred
  • Ability to meet physical requirements such as sitting for long periods and using computer monitors/equipment
Core Competencies

Demonstrates expertise in machine learning algorithms and advanced analytical techniques, with a strong ability to lead data science initiatives and mentor teams. Proficient in creating scalable data solutions and automating processes while ensuring adherence to best practices in data science.

Highest-signal resume keywords
  • Machine Learning Algorithms
  • Expert Knowledge of Scikit-learn
  • Advanced Coding in Python
  • Data Wrangling and Transformation
  • Statistical Analysis
ATS Optimization Keywords Hard Skills
  • Machine Learning Algorithms
  • Data Mining
  • Statistical Analysis
  • Data Wrangling
  • Data Transformation
  • Automation and Deployment
  • SQL
  • Deep Learning
  • Natural Language Processing
  • Quantitative Aptitude
Soft Skills
  • Exceptional Communication
  • Mentoring Ability
  • Troubleshooting Under Pressure
Certifications & Qualifications
  • Master's Degree
  • PhD Degree Preferred
Industry Keywords
  • Data Science Best Practices
  • Data-driven Culture
  • Product Development Activities
  • Enterprise-scale Operational Environment
Tools & Technologies
  • TensorFlow
  • Keras
  • Cloud-based Data Solutions
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