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

... analysis. * Ability to translate business requirements into clear, maintainable data structures ... Experience with Python, data quality testing, version control, CI/CD, or other practices that ...

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Familiarity with data analysis tools such as SQL, Python, R, Power BI, Tableau, or similar technologies. * Strong analytical and problem-solving skills with attention to detail. * Ability to manage ...

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, software engineers, and business ... Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ...

Strong command of SQL, Python, or R for data manipulation and analysis. * Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.

Strong command of SQL, Python, or R for data manipulation and analysis. Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques. Familiarity ...

Strong command of SQL, Python, or R for data manipulation and analysis. Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques. Familiarity ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Demonstrated mastery of programming skills in Python or R * Experience with data visualization ...

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Demonstrated mastery of programming skills in Python or R * Experience with data visualization ...

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Freelance Python Data Analysis information

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

As of Jul 15, 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, 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 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 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:
What are popular job titles related to Freelance Python Data Analysis jobs in Orem, UT? For Freelance Python Data Analysis jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Orem, UT look for? The top searched job categories for Freelance Python Data Analysis jobs in Orem, UT are:
What cities near Orem, UT are hiring for Freelance Python Data Analysis jobs? Cities near Orem, UT with the most Freelance Python Data Analysis job openings:
Analytics Engineer

Full-time

Re-posted 4 days ago


Job description

About the Role
Nature's Sunshine is entering an ambitious new phase of growth, and data will play a central role in how the company scales. As part of that investment, we are building a new Enterprise Data & Analytics function to unlock trusted data, sharpen decision-making, and help teams improve business performance.
As an Analytics Engineer, you will build and maintain analytics assets that turn business logic into reliable, reusable data products. Your work will include dimensional models, trusted datasets, governed metrics, and semantic layers that reporting, analytics, and business teams can confidently use.
This is not a traditional reporting role, and it is not primarily a pipeline engineering role. You will work in the layer where business logic becomes reusable analytics infrastructure: models, metrics, semantic layers, and trusted datasets.
You will partner with business stakeholders, BI developers, analysts, and data team members to clarify requirements, improve metric consistency, and build assets that are reliable, documented, and maintainable. Success in this role will be measured by adoption, consistency, trust, and maintainability - not output volume.
What You'll Do
  • Build and maintain dimensional models, reusable datasets, and semantic layers for reporting, analytics, and decision-making.
  • Translate business logic into clear, tested, well-documented data structures.
  • Support KPI, metric, calculation, and reusable business logic definition with stakeholders and data team members.
  • Make sound modeling decisions across grain, relationships, performance, usability, governance, and maintainability for assigned work.
  • Partner with business users, analysts, BI developers, and senior data team members to turn business questions into durable analytics solutions.
  • Follow and contribute to analytics development standards, including naming conventions, documentation, certification, reusable measures, and change control.
  • Improve trust in reporting by reducing duplicated logic, documenting definitions, and making shared metrics easier to understand and maintain.
  • Use AI-assisted workflows to improve development speed, documentation, testing, and data quality while applying judgment to protect trust in the data.
What We're Looking For
Required Qualifications
  • 3+ years of experience in analytics engineering, BI engineering, data modeling, or a closely related analytics role.
  • Strong SQL skills, including experience building, testing, and maintaining analytical transformations.
  • Solid understanding of dimensional modeling, including facts, dimensions, grain, relationships, and conformed dimensions.
  • Experience building data models, semantic layers, BI models, or trusted datasets used for reporting and analysis.
  • Ability to translate business requirements into clear, maintainable data structures.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Good judgment in balancing speed, quality, performance, usability, governance, and maintainability.
  • Experience working in a modern analytics platform such as Microsoft Fabric, Snowflake, Databricks, BigQuery, or similar.
Preferred Qualifications
  • Hands-on experience with Microsoft Fabric.
  • Power BI experience, including DAX, relationships, performance optimization, or semantic model development.
  • Experience with Python, data quality testing, version control, CI/CD, or other practices that improve analytics engineering reliability.
  • Experience improving reporting trust through clearer metric definitions, documented business logic, or reusable data models.
  • Experience using AI-assisted development workflows responsibly.
Who Will Thrive in This Role
You will thrive here if you enjoy turning messy business logic into trusted, reusable data products. You should be comfortable working through ambiguity, asking good questions, challenging unclear requirements, and balancing practical delivery with long-term maintainability.
You should be motivated by building durable analytics assets that improve how the business operates, not just answering one-off reporting requests.
#ZR
Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.
We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.