1

Python Data Analyst Jobs in Utah (NOW HIRING)

... analytical open banking solutions. Focused in the first instance on affordability/credit ... Workplace Python coding experience, including a good knowledge of the principal Python Data Science ...

Python Developer

American Fork, UT · On-site

$45 - $62/hr

Python Developer Location : American Fork , UT/ Englewood, CO Duration : Contract (6+months) Rate ... cause analysis; and data gathering, analysis, and reporting within a system/software quality ...

Analytics Engineer

Salt Lake City, UT · On-site

$70K - $85K/yr

... Data Analyst role. * Strong SQL skills -- writes clean, optimized queries with a solid understanding of how data warehouses execute them. * Python proficiency for data transformation and pipeline ...

Data NLU Filipino L2

Redmond, UT · On-site

$37.50K - $83.60K/yr

Familiarity with data processing and visualization languages and tools such as Python. * Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.

Data Engineer

Draper, UT

$107K - $128.50K/yr

... analysis for good performance. Experience working with python or Scala, Spark, Hadoop, Hive, Oozie, Sqoop, HDFS, Impala, Shell Scripts, Microsoft Azure Services like ADLS/Blob Storage solutions ...

New

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

Data Engineer

Woods Cross, UT · On-site

$108K - $129.70K/yr

... analytics * Collaborate on data models that support business metrics and dashboards * Write and optimize complex SQL queries for performance and clarity Automation & Internal Tooling * Build Python ...

Data Engineer

Woods Cross, UT · Remote

$108K - $129.70K/yr

... analytics * Collaborate on data models that support business metrics and dashboards * Write and optimize complex SQL queries for performance and clarity Automation & Internal Tooling * Build Python ...

next page

Showing results 1-20

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 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.

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:
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.
Portfolio Data Operations Analyst

Portfolio Data Operations Analyst

Addepar

Salt Lake City, UT • On-site

$86K - $107K/yr

Full-time

Posted 13 days ago


Job description

Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
The Role
We are currently seeking a Portfolio Data Operations Analyst to join our Portfolio Data Operations team! Part of the broader Addepar Engineering organization, the Portfolio Data Operations team is responsible for ensuring Addepar's clients have timely and high quality data. This will include overseeing the processing of transactions and positions so that it meets client timelines, ensuring data quality through verification checks, and helping clients with their data support questions. The Portfolio Data Operations team sits at the nexus of Addepar's activity and requires daily communications with data providers, clients, and other personnel across the company.
Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.
The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $86,000 - $107,000 (base salary) + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.
What You'll Do
  • Perform daily internal verification checks to ensure portfolio account data is accurate and available within SLAs.
  • Investigate and troubleshoot data pipeline issues and feed processing exceptions, and triaging with Engineering Support when needed.
  • Effectively complete and maintain operational workflows and identify and implement opportunities for optimization.
  • Collaborate with Client Support, Solution Architects, and other members of Services and Sales to review and resolve client data inquiries and requests.
  • Partner with Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency.
  • Participate in broad company initiatives to stand up new product functionality or services.
Who You Are
  • 2+ years of work experience in the financial investment/advisory industry with deep knowledge of capital markets, trade processing and lifecycle, and middle/back-office operations systems.
  • Strong attention to details and a passion for problem solving.
  • Excellent communication and interpersonal skills for interfacing with internal and external stakeholders.
  • Proven ability to multitask and prioritize effectively in a fast paced environment.
  • Very team-oriented, dedicated and forward thinking.
  • Technical skills preferred in any or all of the following: Microsoft Excel, VBA, SQL, Python, Salesforce, Bloomberg, Thomson Reuters, or other common financial services systems and applications.

Our Values
  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients' success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.