Part Time Data Analyst; Remote
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-01-13
New York, New York County, New York, 10261, USA
Listing for:
Leo
Part Time, Remote/Work from Home
position Listed on 2026-01-13
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Data Warehousing
Job Description & How to Apply Below
Location: New York
About the job Part Time Data Analyst (Remote)
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:
- 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 address 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)
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