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Freelance Python Data Analysis Jobs in Orem, UT (NOW HIRING)

Advanced proficiency in Excel (including lookups, PivotTables, conditionals, data analysis). * Proficiency in PowerPoint. * Experience with Python and/or SQL preferred. * Demonstrated self-motivation ...

Digital Analyst Internships

Orem, UT

$85K - $101K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Orem, UT · On-site

$85K - $101K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Sr. Data Scientist

Provo, UT · On-site

$118K - $154K/yr

Create dashboards, reports, and data visualizations that communicate actionable insights to ... Proficiency in Python, SQL, R, or similar statistical programming languages * Strong analytical ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... analysts, and other stakeholders to understand data requirements and ensure data quality • ... • Strong Python for data engineering (modular, testable pipeline code) • Hands-on dbt ...

Data analysis and report development, including high visibility, cross-departmental dashboards ... Solid programming skills with Python or other programming languages. * Experience with GitLab or ...

New

Data Scientist

Provo, UT · On-site +1

$110K - $130K/yr

Python for analysis, modeling, and automation. Your code is clean enough that someone else can read ... Data modeling. Experience with dbt or equivalent transformation frameworks. You've built analytical ...

Data Architect

Draper, UT · On-site

$59.50 - $76.75/hr

Build and configure data pipelines, models, and analytics solutions-acting as both architect and ... Strong coding proficiency in SQL and Python, with the ability to guide and review complex codebases.

Data Architect

Draper, UT · On-site +1

$140K - $200K/yr

Build and configure data pipelines, models, and analytics solutions-acting as both architect and ... Strong coding proficiency in SQL and Python, with the ability to guide and review complex codebases.

... analyses, models, and experimentation plans that deliver real impact. • Driving projects end to ... Required : • 5+ years of experience in data science or a related field • Expert SQL and Python ...

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

A background with data analysis and visualization * 5+ years of experience in any back-end language, preferably Java, Go or Python * Management of distributed data technologies such as streaming ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ... Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience ...

Showing results 41-60

Freelance Python Data Analysis information

See Orem, UT salary details

$11

$50

$75

How much do freelance python data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for freelance python data analysis in Orem, UT is $50.96, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $57.88 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

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 backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Orem, UT? The most popular types of Python Data Analysis jobs in Orem, UT are:
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Re-posted 19 days ago


Trove Brands rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

The Sales Forecasting Analyst will play a key role in identifying sales trends and providing insights that drive business performance for our international accounts. The ideal candidate is proactive, analytical, and creative in their approach, with a strong ability to plan, problem-solve, and think strategically. This individual should be highly organized, detail-oriented, and an excellent communicator who thrives in a collaborative environment. A positive, energetic attitude and strong customer service mindset are essential.

Responsibilities:

  • Develop and maintain accurate sales forecasts by analyzing historical data, point-of-sale trends, and market dynamics.
  • Conduct analytics to evaluate performance across products and retailers and translate insights into actionable strategies.
  • Monitor forecast accuracy, identify root causes of variances, and recommend corrective actions.
  • Support promotional planning, including product launches and seasonal sales surges.
  • Collaborate with supply chain, finance, and sales teams to align forecasts with production and demand planning.
  • Stay current on industry trends and translate insights into impact.
  • Leverage AI tools (e.g., LLMs, automation workflows) to enhance analytical efficiency and uncover deeper insights.
  • Support sales representatives to build strong collaborative relationships with external retail merchant teams.

Qualifications:

  • Knowledge of retail industry best practices; an international focus is preferred.
  • Extensive experience with data visualization software; experience in Omni analytics platform preferred.
  • Advanced proficiency in Excel (including lookups, PivotTables, conditionals, data analysis).
  • Proficiency in PowerPoint.
  • Experience with Python and/or SQL preferred.
  • Demonstrated self-motivation, commitment, positivity, and integrity.
  • Strong ability to multi-task and manage multiple priorities simultaneously.
  • Comfortable working in a fast-paced, dynamic environment.
  • Strong leadership, organizational, and analytical skills.
  • Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field.
  • 3+ years of retail business analyst experience; international account experience preferred.

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