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Part Time Python Data Analysis Jobs in Phoenix, AZ

DORN

Ergonomist (part-time)

Phoenix, AZ · On-site

We are seeking a highly skilled and experienced part-time Ergonomist to join our dynamic team. As ... Analyze data and gather information to develop comprehensive ergonomic recommendations and ...

DORN

Ergonomist (part-time)

Phoenix, AZ · On-site

We are seeking a highly skilled and experienced part-time Ergonomist to join our dynamic team. As ... Analyze data and gather information to develop comprehensive ergonomic recommendations and ...

Arizona State University

Research Technician

Tempe, AZ · On-site

$24/hr

Additional responsibilities will include data management and preliminary data analyses as well as ... Graduate Assistant, Intern and part-time positions are counted as half time for experience ...

Succeed ABA Arizona

RBT with part time

Surprise, AZ

$20 - $28/hr

Data collection, analysis, and preparation for presentation * Coordinate with other program staff ... Job Type: Part time and full-time positions available Benefits! * Weekly pay * Health Insurance

Pinkerton

Intelligence Analyst

Scottsdale, AZ

... Type Part-Time Job Type On-Site Overview 170+ Years Strong. Industry Leader. Global Impact. At ... analysis. * Familiarity with OSINT techniques for collecting, analyzing, and validating data from ...

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All JobsPython Data Analysis JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in Phoenix, AZ

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:
Part Time Python Data Analysis jobs near you
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.
Field Data Collector - GSSpeak

Field Data Collector - GSSpeak

NORC at the University of Chicago

Peoria, AZ • On-site

$19 - $28.41/hr

Full-time, Part-time

Retirement

Posted 8 days ago

Job description

Field Data Collector - GSSpeak
Job no: 503891 Work type: Intermittent Location: Peoria, AZ Capability Area: Field
Job Description:
NORC is hiring Field Data Collectors (Field Interviewers) to support research and data collection.
In this position, you will help bring research to life by conducting in-person interviews in respondents' homes. The data you collect will support studies on important issues, including healthcare access and affordability, the role of higher education in the workforce, and other topics that shape public policy.
Candidates who are conversationally bilingual in English and Spanish are encouraged to apply.
Ideal Candidate:
The ideal candidate for this role:
  • is available to work a flexible, part-time schedule, primarily in the evenings and over the weekend,
  • a self-starter who can manage, organize, and commit to their own work schedule,
  • someone that enjoys meeting new people from diverse backgrounds and professions,
  • is available to make "cold contacts," both by phone and in-person to gain cooperation with new sample members, and
  • is willing to conduct interviews both by phone and in-person at the respondent's home, jobs, or other public places,
  • and has field interviewing or related experience in sales, hospitality, marketing, canvassing, teaching, or customer service experience.

Responsibilities:
  • Gain the cooperation of respondents in order to complete a survey by being persuasive and appropriately assertive.
  • Maintain neutral and objective communication with respondents.

Requirements:
  • Available to work a part-time schedule of 20-25 hours per week, including weekday, evening, and weekend shifts.
  • Must be comfortable contacting people in-person at their home, often without notice.
  • Lifting and carrying up to 10 lbs. up and downstairs as needed.
  • Must reside within 100 miles of the location displayed in this job posting.
  • Must be able to use a company provided laptop, tablet, and applications for tasks such as sending emails and capturing notes about completed work.
  • Valid driver's license, automobile insurance, and access to reliable transportation.
  • All employees hired for this position must present evidence of their identity and authorization to work in the United States (I-9 documentation).
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.
  • At least 18 years of age.
  • High School Diploma or GED preferred.
  • Bilingual (Spanish/English) is a plus.

Salary And Benefits:
The pay range for this position will be $19.00 - $28.41 per hour, with additional bilingual pay of $1.00 for each hour worked after certification is completed; pay is based on experience and geographic location.
This position is classified as intermittent. Intermittent staff are eligible for the following benefits:
  • 403(b) Retirement Plan
  • Paid sick leave
  • Paid holidays
  • Paid orientation and training
  • Free counseling and referrals through NORC's Employee Assistance Program (EAP)
  • Discount programs - like travel and electronics

Pay and benefits transparency helps to reduce wage gaps. As part of our commitment to pay equity and salary transparency, NORC includes a salary range for each job opening along with information about eligible benefit offerings. At NORC, we take a comprehensive approach to setting salary ranges and reviewing raises and promotions, which is overseen by a formal Salary Review Committee (SRC).
We will consider for employment all qualified Applicants, including those with arrest and conviction records, in a manner consistent with the requirements of applicable state and local laws. Material job duties that may be directly and negatively impacted by certain criminal histories and result in the withdrawal of a conditional offer of employment include in-person visits to respondent homes, collection of and access to sensitive personal information, handling of client funds, and scientific integrity in the ethical collection of data. The chance to explain or correct background information and provide verifiable information of good conduct and rehabilitation will be provided.
Other Important Details:
Project Note: Learn more about the project details representing our current data collection phase: https://www.norc.org/content/dam/no-search/project-preview-gss-amerispeak-2026.pdf
At NORC, we operate in an agile environment, some of the specifics are actively evolving. The successful candidate will receive a fully updated briefing on the current state of the project in the invitation to interview.
Because of the temporary nature of field work, these positions are great for students, teachers, real estate agents, tax preparers, retirees, and all others who are looking for flexible work.
Who We Are:
NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, NORC has conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration.
EEO Statement:
NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
Advertised: July 13, 2026 Mountain Daylight Time Applications close: July 30, 2026 Mountain Daylight Time
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