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Python Data Analyst Jobs in Utah (NOW HIRING)

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 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 ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, software engineers, and business ... Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

Strong command of SQL, Python, or R for data manipulation and analysis. * Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.

Patientco

VP, Data Sciences

Lehi, UT · On-site

Strong command of SQL, Python, or R for data manipulation and analysis. Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques. Familiarity ...

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools ... Analytical thinking * Problem-solving * Data accuracy and precision * Ability to manage multiple ...

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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

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How much do python data analyst jobs pay per year?

As of Jul 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.

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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Scientist - Senior with Security Clearance

Nalley Consulting

Salt Lake City, UT • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Position: Data Scientist LCAT: Senior
Location: Utah ANG, Salt Lake City, Utah / On-site
Office: U.S. Air Force Air Combat Command Required clearance: TS/SCI, ability to pass a polygraph Required education: Master's degree or bachelor's degree with at least five (5) years of related senior-level experience in data science. Ten (10) years or relevant data science experience in lieu of degree; at least part of the required experience must be within the past two (2) years. Description: This position is contingent upon award of contract. We are seeking a highly skilled and experienced Data Scientist to join our team supporting the Air Force's Air Combat Command (ACC) Intelligence, Surveillance, and Reconnaissance (ISR) Enterprise program. As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision-making across the organization. This role involves conducting end-to-end data science activities-including data engineering, exploratory analysis, predictive modeling, and statistical analysis-while transforming complex datasets into actionable insights through compelling visual and narrative storytelling. The ideal candidate will proactively identify and retrieve relevant data from diverse sources, build scalable machine learning (ML) solutions, and develop AI-driven tools to automate analytical processes and improve operational efficiency. Responsibilities * Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights. * Design and develop machine learning models, including recommendation engines and automated scoring systems. * Build, validate, and deploy high-quality predictive models and analytical solutions. * Conduct exploratory data analysis to identify trends, anomalies, and opportunities. * Integrate and manage large, disparate datasets from multiple structured and unstructured sources. * Develop and automate workflows for data processing, model training, and reporting. * Translate analytical findings into clear, compelling visual, written, and verbal narratives. * Collaborate with cross-functional teams to support strategic and operational decision-making. * Develop AI-based tools to streamline and automate business processes. * Ensure data quality, integrity, and governance across analytical workflows. Required Experience: * Experience working with large-scale and complex datasets, including Multi-INT or similar data environments * Proficiency in major data science programming languages including Python and R * Expertise in data visualization tools and applications, including Power BI and Tableau * Experience managing and merging disparate data sources, preferably through R, Python, or SQL * Strong knowledge and experience using ICD 203/206 tradecraft standards Desired Experience: * Background in advanced analytics within intelligence, defense, or similar data-intensive domains. * Experience in developing and deploying automated AI/ML solutions. * Familiarity with cloud-based data platforms (e.g., Azure, AWS, or GCP). * Experience with big data frameworks (e.g., Spark, Hadoop). ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: * Excellent medical, dental, and vision benefits * PTO * 11 paid federal holidays * Tuition assistance * Paid military-reserve leave * Paid parental leave for birth or adoption * 401k matching up to 5 percent of the base salary * Flex time * Company-paid short-term disability, long-term disability, and life insurance.

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