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Part Time Data Analytics Instructor Jobs in New York

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools * Perform other duties, as needed Qualifications: * 5+ years of experience in ...

SEO

Senior Lead Instructor

New York, NY · On-site

$65/hr

Non-Exempt Employee Type: Part-Time, Seasonal Location: New York, NY Work Arrangement: This role ... analyze instructor & student data, and promote rigorous and mission-aligned learning in all ...

netx

Data Analyst

New York, NY

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We pride ourselves on having a great team and fun work environment while doing great work for our ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Fora

Senior Data Analyst, Marketing

New York, NY · On-site

$120K - $160K/yr

... or part-time. The same idea shapes how we work. We're mission-driven and obsessed with our ... Five or more years of experience in a data analytics role, ideally in a fast paced and ...

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Part Time Data Analytics Instructor information

What is a part time data analytics instructor?

Part Time Data Analytics Instructors are professionals who teach students the fundamentals and advanced concepts of data analytics, usually on a part-time basis. They create lesson plans, deliver lectures, and provide hands-on guidance in analyzing data, using tools like Excel, SQL, Python, or R. These instructors may work for colleges, universities, bootcamps, or online learning platforms, often teaching evenings or weekends to accommodate working students. Their role is essential in helping learners develop practical data analysis skills for careers in various industries.

What are the key skills and qualifications needed to thrive as a part time data analytics instructor?

To thrive as a Part Time Data Analytics Instructor, you need a solid background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and professional experience. Mastery of tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of online learning management systems, is typically required. Strong communication, patience, and the ability to engage and motivate diverse learners are critical soft skills. These competencies ensure instructors can effectively teach complex concepts, support student success, and adapt to different learning needs.

What are some common challenges faced by part time data analytics instructors, and how can they be addressed?

Part-time Data Analytics Instructors often face the challenge of balancing their teaching responsibilities with other professional or personal commitments. Managing time effectively is crucial, as is staying up-to-date with industry trends to provide relevant and engaging content. Additionally, instructors may need to adapt their teaching style to accommodate students with varying levels of experience. Building a supportive classroom environment and leveraging available resources from the institution can help address these challenges and ensure a rewarding teaching experience.

What is the difference between Part Time Data Analytics Instructor vs Part Time Data Science Tutor?

AspectPart Time Data Analytics InstructorPart Time Data Science Tutor
Required CredentialsBachelor's degree in Data Analytics, Statistics, or related field; teaching experience preferredBachelor's or Master's in Data Science, Computer Science, or related; tutoring experience
Work EnvironmentEducational institutions, online platforms, training centersOnline platforms, private tutoring, educational websites
Employer & Industry UsageUniversities, coding bootcamps, online course providersOnline tutoring platforms, private clients, educational companies

While both roles involve teaching data-related skills, the Part Time Data Analytics Instructor focuses on teaching analytics concepts and tools in educational settings, whereas the Part Time Data Science Tutor emphasizes personalized instruction in broader data science topics, often in one-on-one sessions.

What are the most commonly searched types of Data Analytics Instructor jobs in New York?

The most popular types of Data Analytics Instructor jobs in New York are:

What are popular job titles related to Part Time Data Analytics Instructor jobs in New York?

For Part Time Data Analytics Instructor jobs in New York, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analytics Instructor jobs in New York look for?

The top searched job categories for Part Time Data Analytics Instructor jobs in New York are:

Part Time Data Analytics Instructor jobs near you
Infographic showing various Part Time Data Analytics Instructor job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Re-posted 9 days ago

Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized

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