2

Part Time Python Data Analysis Jobs in Phoenix, AZ

Fall 2026 - AI & Data Analytics Intern

Scottsdale, AZ · On-site

$15 - $20.25/hr

Proficiency in Python, SQL, or similar programming languages for data analysis, automation, or prototype development. * Experience working with semi-structured, or messy datasets, including cleaning ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Application Engineering Intern

Chandler, AZ

$16.25 - $21.25/hr

... Data Science, or related field - Strong analytical and problem-solving skills - Programming experience (Python, C++, Java, or similar) - Comfort working with data (Excel, Python) - Attention to ...

Application Engineering Intern

Chandler, AZ · On-site

$16.25 - $21.25/hr

... Data Science, or related field - Strong analytical and problem-solving skills - Programming experience (Python, C++, Java, or similar) - Comfort working with data (Excel, Python) - Attention to ...

next page

Showing results 1-20

Part Time Python Data Analysis information

See Phoenix, AZ salary details

$13

$58

$85

How much do part time python data analysis jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for part time python data analysis in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

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

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.
What are the most commonly searched types of Python Data Analysis jobs in Phoenix, AZ? The most popular types of Python Data Analysis jobs in Phoenix, AZ are:
What are popular job titles related to Part Time Python Data Analysis jobs in Phoenix, AZ? For Part Time Python Data Analysis jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in Phoenix, AZ look for? The top searched job categories for Part Time Python Data Analysis jobs in Phoenix, AZ are:
Infographic showing various Part Time Python Data Analysis job openings in Phoenix, AZ as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.
Fall 2026 - AI & Data Analytics Intern

Fall 2026 - AI & Data Analytics Intern

onsemi

Scottsdale, AZ • On-site

Part-time

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


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description


An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.
onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company's commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.
Key benefits include:
  • Competitive compensation and medical benefits
  • Flexible work hours aligned with academic schedules
  • Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
  • Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi's strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.
Responsibilities
The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a high-priority initiative to improve product ownership visibility, data quality, and operational efficiency across product lines while helping identify and address root causes of organizational and enterprise data structure challenges. The intern will help design and prototype an AI-enabled internal tool that allows employees to quickly identify the correct Product Line Manager or Applications Manager based on product family, part number, or related ownership attributes. In addition to prototype development, the intern will evaluate the underlying process, data governance, and ownership model gaps contributing to the issue and recommend operationalized solutions that can be scaled beyond the initial proof of concept. This role offers hands-on exposure to enterprise data challenges, AI-enabled workflow improvement, and cross-functional problem solving in a semiconductor business environment.
The primary project will focus on building a working prototype or proof of concept for an ownership lookup and recommendation tool. The tool should help users resolve ownership questions more efficiently by consolidating fragmented data sources, applying structured matching logic, identifying gaps or conflicts, and presenting results with clear confidence indicators and exception handling. The project will also include root-cause analysis of the organizational, process, and enterprise data structure issues that create ownership ambiguity, along with practical recommendations for operationalizing a sustainable long-term solution.
Key Responsibilities:
  • Design and prototype an AI-enabled ownership resolution tool that identifies the appropriate Product Line Manager or Applications Manager by product family, part
    number, or related ownership attributes.
  • Collect, consolidate, clean, and normalize ownership data from internal sources into a structured, maintainable data model.
  • Analyze root causes of ownership ambiguity, including gaps in data governance,source-of-truth alignment, process ownership, organizational structure, and
    enterprise system connectivity.
  • Develop search, matching, recommendation logic, confidence indicators, and exception flags to improve ownership lookup accuracy and handle ambiguous or
    conflicting data.
  • Build analytics or dashboard views to track ownership coverage, unresolved mappings, data quality issues, root-cause themes, and prototype performance.
  • Partner with cross-functional stakeholders to validate requirements and outputs, then document prototype logic, limitations, operationalized recommendations, governance improvements, and handoff requirements for future scaling.

Qualifications
Qualifications - External
Requirements:
  • Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering or a related field.
  • Proficiency in Python, SQL, or similar programming languages for data analysis, automation, or prototype development.
  • Experience working with semi-structured, or messy datasets, including cleaning, joining, validating, and transforming data.
  • Demonstrated coursework, project experience, or practical interest in AI, machine learning, natural language processing, automation, or data analytics.
  • Strong analytical and problem-solving skills, with comfort working through ambiguous business problems and incomplete information.
  • Ability to communicate technical concepts clearly to business stakeholders and work effectively with cross-functional teams.
  • Proficiency with Microsoft Excel, PowerPoint, and other productivity tools.

Preferred Skills:
  • Experience with Power BI, Tableau, or other business intelligence and data visualization tools.
  • Exposure to APIs, data pipelines, knowledge management systems, or enterprise data workflows.
  • Familiarity with prompt engineering, retrieval-augmented generation, semantic search, or practical generative AI use cases.
  • Interest in customer experience, operations, product management, or semiconductor industry workflows.
  • Ability to synthesize complex information into clear, actionable insights and executive-ready summaries.

To be considered for an internship, you must be currently enrolled in a degree seeking program.
Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

What Onsemi employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom