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Weekend Python Data Analyst Jobs in Utah (NOW HIRING)

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 ...

NRG

Data Analyst

Provo, UT · On-site

Write and optimize SQL queries and Python scripts to extract, clean, and analyze large datasets ... Ensure data accuracy through validation, reconciliation, and quality checks * Automate reporting ...

Crumbl

Data Analyst

Provo, UT

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Crumbl

Data Analyst

Provo, UT

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Crumbl

Data Analyst

Provo, UT · On-site

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Cliftonlarsonallen

Data Analyst Senior

Salt Lake City, UT · On-site +1

$83K - $105K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Bamboo Insurance

Financial Data Analyst

Midvale, UT

$90K/yr

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 ...

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 ...

Inside Real Estate

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 ...

Conservice

Data & Business Analyst

Logan, UT · On-site

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 ...

ION Solar

BI - Senior Data Analyst

Orem, UT · On-site

$70K - $80K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Proficiency in programming languages SQL, SOQL, or similar technologies, as well as Python or R (1 ...

ION Solar

BI - Senior Data Analyst

Orem, UT

$74K - $94K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Proficiency in programming languages SQL, SOQL, or similar technologies, as well as Python or R (1 ...

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Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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:
Weekend Python Data Analyst jobs near you
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

This job post has expired today. Applications are no longer accepted.

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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