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Part Time Data Visualization Jobs in New York (NOW HIRING)

Stevens

Research Assistant

Hoboken, NJ

$15.92/hr

The Movement Control Rehabilitation (MOCORE) Lab seeks a part-time XR Research Assistant to support ... Build data capture and replay functionality, including saving hand kinematic data and re-projecting ...

Revvity

Sr. Tax Manager (REMOTE)

New York, NY · On-site +1

$134K - $167K/yr

Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ... Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your ...

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Part Time Data Visualization information

How much does a data visualizer earn?

A part-time data visualizer typically earns between $15 and $30 per hour, depending on experience, skills, and the complexity of projects. Rates may vary based on geographic location and whether the work is freelance or employed full-time. Proficiency in tools like Tableau or Power BI can influence earning potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and visualization tasks, but data analysts are essential for interpreting insights, making strategic decisions, and applying domain knowledge. The role of a data analyst involves critical thinking and communication skills that AI currently cannot fully replicate, making human expertise valuable even as automation increases.

Is 40 too late for data science?

Age is not a barrier to entering data science or part-time data visualization roles, as skills such as programming, data analysis, and visualization tools can be learned at any age. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and building portfolios, making 40 an acceptable age to start or switch to this field.

What is a Part Time Data Visualization job?

A Part Time Data Visualization job involves creating visual representations of data to help organizations analyze trends, patterns, and insights. Professionals in this role use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to design charts, graphs, and dashboards. This position is typically flexible, allowing individuals to work fewer hours while still contributing to data-driven decision-making. Common industries for this role include marketing, finance, healthcare, and technology. It is ideal for students, freelancers, or professionals seeking a supplementary income while honing their data visualization skills.

Are data visualization jobs in demand?

Data visualization jobs are in high demand as organizations seek professionals skilled in tools like Tableau, Power BI, and D3.js to interpret complex data. The role is often part of data analysis, business intelligence, or data science teams, with growth driven by increasing data-driven decision-making across industries.

What are the key skills and qualifications needed to thrive in the Part Time Data Visualization position, and why are they important?

To thrive as a Part Time Data Visualization professional, you need a solid background in data analysis, proficiency in visual storytelling, and familiarity with statistical concepts, usually supported by a degree in a related field. Expertise in tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn is highly valued, as are certifications in data analytics or visualization platforms. Strong attention to detail, creativity, and excellent communication skills help in translating complex data into clear and compelling visuals for diverse audiences. These abilities are crucial for delivering impactful insights that drive informed decision-making in a part-time setting.

What are some typical projects or responsibilities for a part time data visualization role?

In a part time data visualization role, you may work on projects such as creating dashboards, infographics, and interactive reports to communicate key business metrics or research findings. Responsibilities often include gathering and cleaning data, selecting appropriate visualization methods, and presenting results to stakeholders or team members. You might also collaborate with data analysts, business managers, and IT professionals to understand project goals and ensure the visuals meet user needs. This role offers flexibility and the opportunity to manage multiple projects while contributing valuable insights to organizational decision-making.

What are the most commonly searched types of Data Visualization jobs in New York? The most popular types of Data Visualization jobs in New York are:
What are popular job titles related to Part Time Data Visualization jobs in New York? For Part Time Data Visualization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Part Time Data Visualization jobs in New York look for? The top searched job categories for Part Time Data Visualization jobs in New York are:
What cities in New York are hiring for Part Time Data Visualization jobs? Cities in New York with the most Part Time Data Visualization job openings:
Part Time Data Visualization jobs near you
Infographic showing various Part Time Data Visualization job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)

Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Posted 17 days ago

Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Artificial Intelligence of Things (AIOT).

This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies.

Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation.

Responsibilities

  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

  • Conduct office hours.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related).

  • 7+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT).

  • Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization

  • Strong knowledge of AI fundamentals and experience with machine learning applications

  • Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos.

Preferred Skills & Experience

  • University teaching experience, especially in graduate or professional programs.

  • University teaching experience in project-based or lab-based courses.

  • Proficiency with MicroPython for device programming

  • Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal

  • Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns.

  • Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent).

Additional Information

Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Apply