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Part Time Python Data Analysis Jobs in Plano, TX

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Part Time Python Data Analysis information

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$12

$56

$82

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

As of Jul 16, 2026, the average hourly pay for part time python data analysis in Plano, TX is $56.11, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $63.75 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 Plano, TX? The most popular types of Python Data Analysis jobs in Plano, TX are:
What are popular job titles related to Part Time Python Data Analysis jobs in Plano, TX? For Part Time Python Data Analysis jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in Plano, TX look for? The top searched job categories for Part Time Python Data Analysis jobs in Plano, TX are:
What cities near Plano, TX are hiring for Part Time Python Data Analysis jobs? Cities near Plano, TX with the most Part Time Python Data Analysis job openings:
Part Time Python Data Analysis jobs near you
Operations Associate (Part-time)

Operations Associate (Part-time)

M Financial Group

Dallas, TX • On-site

Part-time

Re-posted 9 days ago

Job description

M Financial Group:
M Financial Group is a community of leaders comprising the best and brightest minds in our industry. By combining individuals' expertise and skill, M Financial Group has become a powerful force committed to advancing the interests of our industry, communities, and clients for over 40 years. M's solutions are rooted in the diverse expertise of our team, our collaborative approach to innovation and our comprehensive support.
We embrace a progressive, dynamic mindset for every role. M Financial Group provides a professional community that actively supports individuals with diverse backgrounds and perspectives who come together to build and support best-in-class solutions.
Responsibilities:
  • Support the development, implementation, and documentation of operational strategies and process improvement initiatives.

  • Provide day-to-day operational support to production teams to ensure smooth workflow and timely task execution

  • Review, enter, maintain, and ensure data integrity within department systems.

  • Conduct research and data analysis to inform project recommendations and operational decisions.

  • Audit and report on financial transactions, operational metrics, and dashboards to ensure data accuracy and consistency.

  • Collaborate with cross-functional teams to identify efficiency opportunities and support automation efforts.

  • Maintain documentation, reports, and presentation materials for internal and external meetings.

  • Assist with process mapping, performance metric tracking, and manual processes as needed.

  • Schedule and facilitate meetings, prepare materials/deliverables, and aid in follow-up tasks.

  • Monitor and respond to internal and external requests, ensuring accuracy and timeliness.

  • Proactively identify gaps, issues, and risks related to systems and processes; recommend and collaborate on solutions.

  • Support business activity through manual data entry and policy documentation.

  • Present findings and contribute to continuous improvement discussions.

  • Perform additional tasks and projects as assigned.

Qualifications:
  • Bachelor's degree in business administration, Operations Management, Finance, or a related field preferred.

  • Minimum two years of operational or business analysis experience.

  • Financial services or insurance background preferred.

  • Strong competency in Microsoft applications including Word, Excel, PowerPoint, and Outlook.

  • Familiarity with Agile framework; Azure Dev Ops, Power BI, AI preferred.

  • Excellent documentation skills.

  • Skilled in collaborating and communicating effectively within a team environment

  • Ability to consistently deliver accurate and timely work product.

  • Ability to identify opportunities for process improvement and innovation, recommend, and collaborate with team members on solutions.

  • Ability to maintain sensitivity and awareness of confidentiality, compliance, and regulatory requirements.

  • Ability to maintain a customer-centric approach in all aspects of work and communication.

Please note: This is a temporary role staffed through one of our trusted staffing agency partners. The individual selected will be an employee of the staffing agency and assigned to work with the M Financial team for the duration of the assignment (6 months). While the work will be performed in support of M Financial, employment including payroll and benefits will be through our partner staffing agency.
Job Conditions & Environment:
  • Normal office environment/desk assignment

  • Extensive use of PC's, computer terminal, display, keyboard, and mouse

  • Extensive work with documents, spreadsheets, and other written documents

This position description is not intended to be and should not be construed as an all-inclusive list of responsibilities, skills or working conditions associated with this position. While this description is intended to accurately reflect the position's activities and requirements, management reserves the right to modify, add or remove duties as necessary.
M Financial is proud to be an equal opportunity workplace.
#LI-KS1
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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