Part Time Data Analyst (Remote)

Leo; New York (NY); Remote; USD 55,000 - 83,000; Part time

Job summary

A real estate services firm in New York City is seeking a Part Time Data Analyst (Remote) to enhance business decision-making through data analysis. Responsibilities include performing strategic analysis of various data sources, developing data pipelines, and validating information. Candidates should have 5+ years of experience in quantitative analysis and proficiency in SQL, SAS, or SPSS. Excellent communication and analytical skills are essential for success in this role.

Qualifications

• 5+ years of experience in Quantitative Analysis and Data Modeling.
• 3+ years of experience in Software Development or Machine Learning.
• Solid analytical and problem-solving skills.
• Ability to extract insights from structured and unstructured data.
• Strong problem solving and communication skills.

Responsibilities

• Perform ad-hoc analysis of structured and unstructured data.
• Develop data structures and pipelines to standardize data.
• Design workflows and procedures for data integration.
• Identify data integration and integrity issues in collaboration with business units.
• Design workflows and procedures and develop analytics and reporting.

Skills

Quantitative Analysis

Data Modeling

SQL

Data Visualization

Statistical Analysis

SAS

SPSS

Data visualization

Analytical thinking

Communication skills

Education

Associate's and/or Bachelor's Degree

Tools

SQL

SAS

SPSS

Job description

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)