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Entry Level Python Data Analysis Jobs in Salt Lake City, UT

MRM

Data Analyst

Salt Lake City, UT · On-site

... analysis to support client recommendations and insights. The candidate should have a solid ... of Python & data and plotting libraries, with a keen interest in developing their programming ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

... analysis to support client recommendations and insights. The candidate should have a solid ... of Python & data and plotting libraries, with a keen interest in developing their programming ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

... analysis to support client recommendations and insights. The candidate should have a solid ... of Python & data and plotting libraries, with a keen interest in developing their programming ...

Weave

Data Engineer Intern

Lehi, UT · On-site

Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the ... Experience with scripting languages like Python for data manipulation or automation. * A strong ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT

The role combines hands-on API development with data analysis and reporting and requires close ... Experience with Python, Node.JS, and/or SSIS for building data pipelines. * Exposure to dealer ...

MasterCard

Data Scientist I

Holladay, UT · On-site

... 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 ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for entry level python data analysis in Salt Lake City, UT is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Salt Lake City, UT?

The most popular types of Python Data Analysis jobs in Salt Lake City, UT are:

What are popular job titles related to Entry Level Python Data Analysis jobs in Salt Lake City, UT?

For Entry Level Python Data Analysis jobs in Salt Lake City, UT, the most frequently searched job titles are:

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The top searched job categories for Entry Level Python Data Analysis jobs in Salt Lake City, UT are:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Salt Lake City, UT as of June 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,276 per year, or $31.9 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

Re-posted 5 days ago

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