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Skills
Algorithmsunmatched
Analysis Skillsunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Collectionunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Data Structuresunmatched
Data Visualizationunmatched
Data Warehousingunmatched
Database Architectureunmatched
Database Report Toolsunmatched
Design Flowsunmatched
Detail Orientedunmatched
IBM SPSS Statistical Packageunmatched
Identify Issuesunmatched
Interpersonal Skillsunmatched
Machine Learningunmatched
Organizational Skillsunmatched
Performance Managementunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Quantitative Analysisunmatched
Real Estateunmatched
Relational Databases (RDBMS)unmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Software Developmentunmatched
Statistical Analysis System (SAS)unmatched
Statisticsunmatched
Strategic Analysisunmatched
Strategic Planningunmatched
Structured Dataunmatched
Unstructured Dataunmatched
Writing Skillsunmatched
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)