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Data Analyst Data Science Jobs in Pleasant Grove, UT

KēSTA I.T.

Data Analyst

Midvale, UT

$45 - $60/hr

Bachelor's degree in data, analytics, business, computer science, or a related field. * Demonstrated experience providing project leadership or mentoring others. Preferred Qualifications * Experience ...

New

Jobtailor

Data Scientist

Riverton, UT · 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 ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Angel Studios

Data Science

Provo, UT · On-site

You'll own the analytical foundation that makes our recommendation system measurable, improvable ... This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

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 ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

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 ...

Adobe

Data Science Engineer

Lehi, UT · On-site

$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 ...

Jobtailor

Data Scientist

Lehi, UT · 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 ...

Young Living Essential Oils

Data Analyst

Lehi, UT · 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 ...

Young Living Essential Oils

Data Analyst

Lehi, UT · 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 ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

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 ...

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Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Pleasant Grove, UT

Data Analyst Data Science information

See Pleasant Grove, UT salary details

$30.7K

$74.5K

$122.7K

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

As of Aug 28, 2026, the average yearly pay for data analyst data science in Pleasant Grove, UT is $74,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,500.00 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 are popular job titles related to Data Analyst Data Science jobs in Pleasant Grove, UT?

For Data Analyst Data Science jobs in Pleasant Grove, UT, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Pleasant Grove, UT look for?

The top searched job categories for Data Analyst Data Science jobs in Pleasant Grove, UT are:

What cities near Pleasant Grove, UT are hiring for Data Analyst Data Science jobs?

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

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Pleasant Grove, UT as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,543 per year, or $35.8 per hour.

Data Analyst

KēSTA I.T.

Midvale, UT

$45 - $60/hr

Full-time

Posted 2 days ago

New

Job description

Data Analyst – Data Integration & Enablement

Location: Salt Lake City, UT

Job Type: Contract

Experience: 2+ years

Education: Bachelor’s degree preferred

Job Summary

Our client is seeking a Data Analyst to support data integration and enablement initiatives. This role will help build and maintain the data foundation supporting regulatory and financial reporting, analytics, and other business initiatives.

The Data Analyst will work with both business and technology teams to gather requirements, profile source systems, design data flows, document metadata and transformation logic, develop test cases, and validate data quality.

The role will work with data across modern platforms including Enterprise Data Warehouse, Data Lake, Data Mesh, and Operational Data Store (ODS) environments.

Responsibilities

  • Gather and translate business requirements into data solutions.
  • Partner with business and technology stakeholders to understand data requirements.
  • Profile source systems and understand underlying data models.
  • Design efficient data integrations and data flows.
  • Document metadata, transformation rules, and data lineage.
  • Develop and execute test cases to validate data quality and integrity.
  • Build and maintain automated processes for data validation and reporting.
  • Validate data accuracy, completeness, and usability.
  • Collaborate with end users to ensure delivered data meets business requirements.
  • Support data integration and enablement initiatives across the organization.

Required Qualifications

  • 2+ years of experience in data analysis, data integration, or a related field.
  • Strong SQL skills, including data profiling, transformation, testing, and validation.
  • Experience with Python.
  • Experience gathering requirements and working directly with business stakeholders.
  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Experience documenting technical processes, data requirements, and transformation logic.
  • Bachelor’s degree in data, analytics, business, computer science, or a related field.
  • Demonstrated experience providing project leadership or mentoring others.

Preferred Qualifications

  • Experience with modern data stack technologies such as dbt, Databricks, and GCP.
  • Familiarity with Enterprise Data Warehouse, Data Lake, Data Mesh, or ODS environments.
  • Understanding of data governance, metadata, data lineage, and data quality practices.
  • Familiarity with AI concepts and prompt engineering.

Technical Skills

  • Advanced SQL
  • Python
  • dbt
  • Databricks
  • Google Cloud Platform (GCP)
  • Data profiling and validation
  • Data transformation
  • Data quality testing
  • Data integration
  • Data lineage and metadata

Education and experience may be considered in combination to meet the requirements of the position.