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Freelance Python Data Analyst Jobs in Utah (NOW HIRING)

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues ...

Experience in SQL, Python, and/or R for querying and analyzing data. AI tool utilization is also a plus. * Understanding of data analysis concepts, statistical methods, and reporting best practices.

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing ...

Advanced SQL skills and/or knowledge with Python or R for data analysis and automation * Experience in Guidewire or other modern policy administration systems * Experience working with different ...

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R, with demonstrated ability to write efficient queries and build reproducible data pipelines to ...

Data Analyst - Medical Economics

Murray, UT · On-site

$44.36 - $69.85/hr

Advanced healthcare analytics (SQL, Python, Tableau) * Data visualization and management reporting * Cross-functional collaboration and project leadership * Effective verbal, written, and ...

New

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the ... Proficiency in Python or another analytics/programming language * Understanding of data warehousing ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the ... Proficiency in Python or another analytics/programming language * Understanding of data warehousing ...

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... Python scripts and Jupyter notebooks for data extraction, transformation, and automation. Qualifications : Required : • 3-5 years of experience in a data analytics, data engineering, or BI analyst ...

... 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 ...

Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation ... Ability to maintain focus and concentration while analyzing data, reviewing reports, and performing ...

Data Warehouse Analytics Specialist

Sandy, UT · 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 ...

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 · 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 ...

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Freelance Python Data Analyst information

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
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 cities in Utah are hiring for Freelance Python Data Analyst jobs? Cities in Utah with the most Freelance Python Data Analyst job openings:
Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Inficare Technologies

Salt Lake City, UT • On-site

$48.50 - $67/hr

Full-time

Posted 2 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.