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Learning Analytics Remote Jobs in New York (NOW HIRING)

Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a ... Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work

... Security Analytics & Innovation team you will help in the development, deployment and ... To be successful you must be driven and well-organized, with strong learning abilities and be open ...

Senior Financial Analyst - REMOTE

Dobbs Ferry, NY · On-site +1

$89K - $111K/yr

... learning models, and utilize data visualization tools to drive efficiency and generate deeper ... Leverage advanced analytics, financial technologies, and emerging AI tools to enhance forecasting ...

... or remote (distance learning) training. * Coordinate with office administrators, human resources ... Excellent analytical and technical skills requiring an aptitude for detail, precision, and logic ...

New

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning ... We have a flexible work environment and allow remote work depending on one's personal choice.

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Learning Analytics Remote information

What is a Learning Analytics Remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.
What are the most commonly searched types of Learning Analytics jobs in New York? The most popular types of Learning Analytics jobs in New York are:
What job categories do people searching Learning Analytics Remote jobs in New York look for? The top searched job categories for Learning Analytics Remote jobs in New York are:
What cities in New York are hiring for Learning Analytics Remote jobs? Cities in New York with the most Learning Analytics Remote job openings:
Infographic showing various Learning Analytics Remote job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Posted 14 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