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Python Data Analyst Jobs in Utah (NOW HIRING)

Crumbl

Data Analyst

Provo, UT

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Crumbl

Data Analyst

Provo, UT · On-site

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Crumbl

Data Analyst

Provo, UT · On-site

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

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 ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80.80K - $101.90K/yr

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R, with demonstrated ability to write efficient queries and build reproducible data pipelines to ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

Conservice

Data & Business Analyst

Logan, UT · On-site

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

New

Conservice

Data & Business Analyst

Logan, UT · On-site

... SQL, R, and Python. Qualifications : Required : • Proven experience managing or leading a team of analysts in a fast-paced, data-driven environment. • Strong analytical skills with deep ...

New

Conservice

Data & Business Analyst

River Heights, UT · On-site

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

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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 May 30, 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?

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.

More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Utah? The most popular types of Python Data Analyst jobs in Utah are:
What are popular job titles related to Python Data Analyst jobs in Utah? For Python Data Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Utah look for? The top searched job categories for Python Data Analyst jobs in Utah are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Utah as of May 2026, with employment types broken down into 5% As Needed, 71% Full Time, 11% Part Time, 5% Temporary, 5% Contract, and 3% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.
Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Pepperidge Farm, Incorporated

Richmond, UT • On-site

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 12 days ago

Pepperidge Farm rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

104th of 378 rated food and drinks producers

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement


Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.

The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.

Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.

Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.

Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.

Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.

Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).

Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query

Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.

Preferred Qualifications

Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.

Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics

Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.

Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.

Pay:
$18.95/hour

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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