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

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

Data Analyst Assistant

American Fork, UT ยท On-site

$20 - $22/hr

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

Data Warehouse Analytics Specialist

Sandy, UT ยท On-site

$17 - $21.75/hr

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

Working knowledge of Python and/or R for analysis * Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex) * Experience with some ...

Working knowledge of Python and/or R for analysis * Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex) * Experience with some ...

Data Scientists

Salt Lake City, UT ยท 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 ...

BI Developer 3

Lehi, UT ยท On-site

$52 - $56.33/hr

... analytics, and engineering teams Document processes, data models, and reporting standards Skills: Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data Warehousing ...

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Entry Level Python Data Analysis information

See Salt Lake City, UT salary details

$12

$31

$59

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

As of Jul 30, 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:
What job categories do people searching Entry Level Python Data Analysis jobs in Salt Lake City, UT look for? The top searched job categories for Entry Level Python Data Analysis jobs in Salt Lake City, UT are:
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

Inficare Technologies

Salt Lake City, UT โ€ข On-site

$48.50 - $67/hr

Full-time

Re-posted 23 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.