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Part Time Data Analyst (Remote)

Roles & Responsibilities

  • 5+ years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS, or SPSS.
  • 3+ years of technical experience in software development, machine learning or statistical analysis, data engineering, and data visualization.
  • Associate's or Bachelor's degree.
  • Strong analytical and problem-solving skills with excellent written and verbal communication, interpersonal skills, attention to detail, and organizational abilities.

Requirements:

  • Perform ad-hoc and strategic analysis of structured and unstructured data across multiple sources to reflect global real estate markets and asset operations.
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data to generate insights and support reporting needs.
  • Define data requirements, gather and validate information using judgment and statistical tests; identify and troubleshoot data integration and integrity issues with relevant business units.
  • Identify opportunities to maximize data usage by applying modeling and optimization methods to develop new strategies and improve business performance; develop ad-hoc analytics and reporting using various tools.

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

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