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Python Data Analyst Jobs in Utah (NOW HIRING)

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 ...

MRM

Data Analyst

Salt Lake City, UT · On-site

$60 - $80/hr

... 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 ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

... 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 ...

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Technical Data Analyst

Salt Lake City, UT · On-site

$77K - $100K/yr

Use SQL, Python, or similar tools for data extraction and analysis when applicable. * Identify opportunities to eliminate manual processes and improve the efficiency of data collection and reporting.

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports. Tableau - Data visualization and analytics dashboards. Cloud & Data Platforms ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Experience with Python, Node.JS, and/or SSIS for building data pipelines. * Exposure to dealer ...

Navitas Semiconductor

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 ...

Illumination-Works-LL

Data Engineer/Analyst

Layton, UT · On-site

$100 - $125/hr

Utilize Python scripting and core data libraries (e.g. Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis * Act as data steward by governing and accounting for inbound and outbound ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Experience with Python, Node.JS, and/or SSIS for building data pipelines. * Exposure to dealer ...

GPC - Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

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 ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT · On-site

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Experience with Python, Node.JS, and/or SSIS for building data pipelines. * Exposure to dealer ...

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

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

See Utah salary details

$31K

$75.2K

$123.8K

How much do python data analyst jobs pay per year?

As of Sep 9, 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 September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid 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

Salt Lake City, UT • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

$48.50 - $67/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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