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Freelance Python Data Analyst Jobs in Utah (NOW HIRING)

Brevium

Data Analyst Assistant

American Fork, UT · 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 ...

Brevium

Data Analyst Assistant

American Fork, UT

$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 ...

Stio

Data Analyst

Salt Lake City, UT · Remote

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 ...

Navitas Semiconductor

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 ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

TAB Bank

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 ...

PACS

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 ...

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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 are popular job titles related to Freelance Python Data Analyst jobs in Utah? For Freelance Python Data Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Utah look for? The top searched job categories for Freelance 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:
Freelance Python Data Analyst jobs near you

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

Re-posted 22 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.

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