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Part Time Python Data Analysis Jobs in New York (NOW HIRING)

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... Python or R. * Contribute to statistical analysis, hypothesis testing, and predictive modeling to support business objectives. Market Trends and Insights: * Conduct exploratory data analysis to ...

Data Analyst | Remote

Manhattan, NY · Remote

$70 - $120/hr

Business Intelligence Analysts Type: Part-time / Project-based Compensation: $70-$120 per hour ... data visualizations using tools such as Tableau or Power BI Support data modeling and data ...

For candidates with the right background, projects may include data analytics and insights using SQL. Key Responsibilities * Assist with event research to identify and validate key data inputs for AI ...

... or part-time), tenure, and/or the number of hours scheduled to work. Click here for more ... Experience in data analysis or program evaluation. * Experience learning new data systems.

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Knowledge of Python, a plus. * Hands-on experience with modern data analytics stack (e.g. Airbyte ...

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Part Time Python Data Analysis information

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.

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 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.

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 most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What are popular job titles related to Part Time Python Data Analysis jobs in New York? For Part Time Python Data Analysis jobs in New York, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in New York look for? The top searched job categories for Part Time Python Data Analysis jobs in New York are:
Infographic showing various Part Time Python Data Analysis job openings in New York as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Mentor - (Remote) Applied Data & Analytics

Mentor - (Remote) Applied Data & Analytics

Claim Academy

Manhattan, NY • Remote

Full-time, Part-time

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


Job description

Mentor – Part‐Time (Remote) Applied Data & Analytics We are seeking seasoned industry professionals with current, hands‐on experience using AI‐enabled tools to serve as Instructors (Full‐Time and Part‐Time) and Mentors across the following certificate programs. Responsibilities Conduct 1:1 or small‐group mentoring sessions Review projects and portfolios Provide career guidance and interview preparation Reinforce real‐world, AI‐enabled workflows Required Experience 5+ years data or analytics experience Active professional use of: SQL, Python, data pipelines, BI tools, AI‐assisted analytics Universal Qualifications Active, recent industry experience Hands‐on use of AI‐enabled tools Strong communication and mentoring skills Experience working with adult or career‐changing learners Ability to work fully remote Equal Opportunity Statement Claim Academy is an equal opportunity employer. We value diverse backgrounds and experiences and are committed to building an inclusive workforce aligned with the future of education and work.

How to Apply Interested candidates should fill out the form below and submit their resume and cover letter. #J-18808-Ljbffr