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Part Time Python Data Analysis Jobs in Phoenix, AZ

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

micro1 AI

AI Training Specialist - Life Sciences

Tempe, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

micro1 AI

Digital Chemistry Specialist - Remote

Peoria, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

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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 Aug 10, 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.

Data & Reservation Specialist (6156)

Mercy House

Phoenix, AZ • On-site

$21/hr

Part-time

Re-posted 8 days ago

Job description

Status: Part-Time, Non-Exempt Payrate: $21.00 / Hour Schedule: Monday 8 am - 12 pm; Tuesday - Friday 2 pm - 6 pm
Reports to: Program Manager
Department: Emergency Services
Region: Maricopa County
Job Summary: The Data & Reservation Specialist is the point person for all data entry into the Homeless Management Information System (HMIS) for a designated Mercy House program. This position is responsible for data collection and data entry into HMIS, generates reports from HMIS and other platforms. The Data & Reservation Specialist works collaboratively with Mercy House staff in recording services provided, clients served, and program outcomes.
Essential Duties and Responsibilities:
Program Data Entry and Reporting
  • Reviews HMIS intake forms to ensure accuracy of data collected
  • Enters intake/enrollment data into HMIS daily
  • Scans and uploads vital guests' documents to HMIS daily
  • Ensures HMIS data quality management
  • This role is the lead point of contact for Senior Bridge HMIS quality assurance and meets regularly with Data Manager
  • Responsible for entering all Bed Nights, Case Notes and Services provided into HMIS and any other databases
  • Follows up with staff as needed to ensure needed documents and updated forms are kept to agency standard
  • Meets data entry deadlines
  • Responsible for data reporting including Key Performance Indicators

Miscellaneous
  • Attend program specific staff meetings and staff meetings
  • Attend Maricopa CoC meetings as needed
  • Attend HMIS and program data specific training
  • Perform ad hoc projects as appointed by Supervisor

Education and Experience
  • Strong analytical skills and data experience
  • Strong computer, typing, and data processing skills
  • Proficiency in Microsoft Word, Excel, Outlook, and Internet-based browsers
  • Possess a high level of understanding for individuals served with urgent multiple case management and health needs

General
  • Ability to work effectively with a diverse population
  • Plan, organize and prioritize duties
  • Clearly communicate information and instructions verbally and in written form
  • Strong verbal communication and interpersonal skills
  • Ability to multi-task in a fast-paced environment
  • Attention to detail
  • Fluency in Spanish is of significant value

Physical Requirements
  • Ability to lift, bend, push, and pull up to 25 pounds
  • Prolonged periods sitting at a desk and working on a computer

Apply