Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Data Modeling Data Engineering SQL (Programming Language) Quantitative Analysis Data Structures Data Normalization Software Development Mathematical Optimization Data Warehouse Architectures Relational Databases +22 more

Other Skills

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Problem Reporting
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Analytical Skills
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Organizational Skills
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Detail Oriented
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Verbal Communication Skills
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Social Skills
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Problem Solving

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