Part Time Data Analyst (Remote)
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Part Time Data Analyst (Remote) - Leo | Career Page
Part Time Data Analyst (Remote)
New York, New York, United States
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Job Openings Part Time Data Analyst (Remote)
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
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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- X (Formerly Twitter)
Skills
- SQL
- SAS
- Machine Learning
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