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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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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)
#J-18808-Ljbffr