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Python Data Analyst Jobs in Utah (NOW HIRING)

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128.50K/yr

... Analysts, Data Scientists and AI use cases/agents. * Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build high ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

swirecc

Data Scientist

Draper, UT

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Scientist

Draper, UT

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Engineer

Draper, UT · On-site

$107K - $128.50K/yr

Collaborate with analysts and data scientists to create value from data and build the production ... Programming- (Python/Scala/Java/VB and etc) required, Python preferred * ETL * Cloud Development ...

swirecc

Data Engineer

Draper, UT

$107K - $128.50K/yr

Collaborate with analysts and data scientists to create value from data and build the production ... Programming- (Python/Scala/Java/VB and etc) required, Python preferred * ETL * Cloud Development ...

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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.
Senior Data Scientist

Senior Data Scientist

Tendo

Salt Lake City, UT • On-site

$110.50K - $149.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

Job description

The Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.

About Tendo
Make an impact-join our team!

We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. 

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location
Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.
Responsibilities
  • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
  • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
  • Develop analytic data sets and use statistical software to analyze data sets as requested.
  • Use third party software tools in the development of queries and visualizations.
  • Coordinate with different functional teams to implement models and monitor outcomes.
Requirements
  • Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. 
  • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 
  • 5+ years of experience in data analysis software, with data science experience preferred.
  • 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
  • Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains.
  • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc.
  • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning.
  • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc.
  • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows.
  • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering.
  • Strong problem-solving skills with an emphasis on data analytics.  
  • Excellent written and verbal communication skills for coordinating across teams.
Nice to Have
  • Experience in the healthcare setting preferred.
  • Experience with Epic EMR data preferred, but not required.
  • Experience with healthcare financials/claims preferred, but not required.

Base Salary Range
$110,500-$149,500

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program  ("Breathe").
Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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