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How much do python volunteer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python volunteer in High Point, NC is $52.30, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.42 per hour, depending on experience, location, and employer.

What is a Python Volunteer job?

A Python Volunteer job involves contributing programming skills to assist organizations, nonprofits, or open-source projects. Volunteers may help with coding, debugging, data analysis, automation, or software development. These roles are often unpaid but provide valuable experience, networking opportunities, and a chance to support meaningful initiatives. Tasks can range from writing scripts to improving existing codebases or collaborating on community-driven projects.

What are the key skills and qualifications needed to thrive in the Python Volunteer position, and why are they important?

To thrive as a Python Volunteer, you should possess a solid understanding of Python programming fundamentals, problem-solving abilities, and experience with version control systems like Git. Familiarity with collaborative tools such as GitHub, Jupyter Notebooks, and code review platforms is often beneficial, and relevant certifications or experience in open-source contributions can be advantageous. Strong communication skills, reliability, and a passion for learning make a volunteer stand out in team and community-driven environments. These abilities are crucial for contributing effectively, working with diverse teams, and making a positive impact on projects and the organization.

What kinds of projects do Python Volunteers typically work on, and how is the workload managed?

Python Volunteers often assist with a variety of projects such as data analysis, writing or improving scripts, developing web applications, or supporting open-source software initiatives. Work assignments are usually flexible and tailored to match both your skills and the organization’s needs, with tasks ranging from bug fixing to feature development. Teams may use project management tools like Trello or Slack to assign tasks and facilitate communication among volunteers. As a Python Volunteer, you’ll frequently collaborate with other developers and sometimes with non-technical team members, which enhances the learning experience and fosters a supportive environment. This structure allows volunteers to contribute at their own pace while still delivering valuable outcomes.
More about Python Volunteer jobs
What are the most commonly searched types of Python jobs in High Point, NC? The most popular types of Python jobs in High Point, NC are:
What cities near High Point, NC are hiring for Python Volunteer jobs? Cities near High Point, NC with the most Python Volunteer job openings:
Python Volunteer jobs near you
BI & Analytics Developer

BI & Analytics Developer

First Community Bank

Lewisville, NC • On-site

$43.33 - $64.99/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

Description

At First Community Bank, we are committed to making our community, the places where we live and work, a better place each day. With a true focus on "community banking," employees find that they can make an impact through company-sponsored programs such as paid volunteer time, matching gifts for charitable contributions, and team participation in charitable events. We offer comprehensive benefits including health, vision, and dental insurance, 401(k) plan with employer match, life insurance, and paid vacation days, holidays, and other time off options. With over 60 locations in four states, First Community Bank offers the personal service you would expect from a company that knows your community. We welcome all applicants and look forward to new colleagues joining our community!


We are seeking a Business Intelligence & Analytics Developer with experience in both traditional BI reporting and applied analytics. This role focuses on building dashboards and reports using the Microsoft BI stack while also developing and supporting basic machine learning models in Python to enhance analytical insights and decision-making.


The ideal candidate has production experience with Power BI and SQL, along with hands-on exposure to applied machine learning using scikit-learn.


Duties and Responsibilities:

  • Develop and maintain dashboards and reports using Microsoft Power BI and SSRS.
  • Create and manage Power BI datasets, including DAX calculations and measures.
  • Partner with business stakeholders to translate reporting and analytical needs into practical solutions.
  • Write and optimize T-SQL queries, views, and stored procedures to support reporting and analytics workloads.
  • Develop, train, and maintain machine learning models in Python using scikit-learn for use cases such as forecasting, classification, or anomaly detection.
  • Integrate model outputs into BI reports or downstream analytical processes.
  • Support data preparation workflows, including exposure to SSIS or similar ETL tools.
  • Participate in established deployment and release processes using Azure DevOps (or similar tools).
  • Monitor and troubleshoot production reporting and analytics solutions.


Requirements


  • Bachelor's degree in a quantitative or technical field, or equivalent practical experience.
  • 3-5 years of experience in BI, analytics, or data-focused roles.
  • Strong experience developing reports and dashboards in Power BI.
  • Solid T-SQL skills, including joins, aggregations, and query optimization.
  • Hands-on experience using Python for data analysis or modeling.
  • Practical experience building machine learning models using scikit-learn (training, evaluation, and basic tuning).
  • Experience working in production environments with structured deployment processes.
  • Strong attention to data quality, accuracy, and documentation.

Preferred Skills and Qualifications:

  • Exposure to SSIS for ETL or data preparation workflows.
  • Familiarity with Azure DevOps for source control and deployment of BI and analytics assets.
  • Experience operationalizing analytical or ML outputs into reports or business processes.
  • Experience supporting analytics in regulated or data-sensitive environments.


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