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Python Data Analyst Jobs in Utah (NOW HIRING)

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

... of Python & data and plotting libraries, with a keen interest in developing their programming ... Analytics. - Familiar with the basic fundamentals of data visualization, and at least one data ...

Stio

Data Analyst

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues ...

Stadler US Inc.

Data Analyst

Salt Lake City, UT · On-site

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and ... with Python or other analytical programming languages is preferred YOUR BENEFITS YOUR CONTACT ...

AVA Consulting

Data Analyst

Salt Lake City, UT · On-site

AVA Consulting is seeking a Data Analyst Location: Salt Lake City, UT (Hybrid) U.S. Citizens and ... in SQL Python, R, or another scripting or automation language is a plus but not required

Overstock

Data Analyst - IC 2

Salt Lake City, UT

  • Retirement

Develop and maintain pricing tools and Python scripts to automate pricing processes. * Analyze business data to identify pricing opportunities that drive revenue and profitability. * Validate, test ...

Navitas Semiconductor

  • Medical

  • Dental

  • Vision

  • PTO

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing ...

Akraya Inc.

Data Analyst II : 26-02311

Draper, UT · On-site

$40 - $45/hr

SQL (advanced), Python (intermediate), Data Visualization (advanced), Excel (advanced), Statistical Analysis (intermediate) Contract Type: W2 Only Duration: 6+ Months Location: Austin, TX (#LI ...

GPC - Genuine Parts Company

BI Data Analyst

Ogden, UT

  • Medical

  • Retirement

  • PTO

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. Enhances business ...

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

  • Medical

  • Retirement

  • PTO

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. • Enhances business ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Utah

Python Data Analyst information

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$31K

$75.2K

$123.8K

How much do python data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for python 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 does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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For Python Data Analyst jobs in Utah, the most frequently searched job titles are:

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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Inficare Technologies

Salt Lake City, UT • On-site

$48.50 - $67/hr

Full-time

Re-posted 13 days ago

Job description

Role : Python Data Engineer / API Developer
Location: Salt Lake City Its day 1 onsite
Duration: Long term
Key: Python, PySpark, GCP, API development
Role Overview
We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on GCP, and API development. The ideal candidate should have expertise in building scalable data pipelines, working with distributed clusters, and developing secure APIs for enterprise-grade applications.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines for batch and/or real-time processing.
  • Build and optimize PySpark applications running on distributed clusters.
  • Develop secure and scalable Python-based APIs.
  • Work with cloud-native GCP services including BigQuery, Composer, DAGs, and Cloud Storage Buckets.
  • Implement data quality checks, validations, and monitoring frameworks within pipelines.
  • Collaborate with cross-functional teams including data analysts, BI teams, and platform engineers.
  • Ensure performance optimization, reliability, and security best practices across solutions.

Required Skills & Qualifications
  • Strong hands-on experience with PySpark and distributed cluster computing.
  • Proven experience in building Python APIs with a focus on security and scalability.
  • Strong knowledge of API frameworks such as FastAPI or Flask.
  • Hands-on experience with Google Cloud Platform (GCP) services:
    • BigQuery
    • Composer
    • DAG orchestration
    • Cloud Storage Buckets
  • Experience in building robust batch and/or real-time data pipelines.
  • Strong understanding of data quality frameworks and practices.

Preferred Skills
  • Experience with BI and reporting tools such as:
    • Power BI
    • MicroStrategy
  • Familiarity with CI/CD pipelines and DevOps practices is an added advantage.
  • Exposure to data governance and monitoring tools is a plus.

Apply