Logo for LEO Learning

Part Time Data Analyst (Remote)

Role overview

Qualifications

  • 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.

Responsibilities

  • 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.

About the company

LEO Learning logo

LEO Learning

E-Learning / EdTech

Company details

IndustryE-Learning / EdTech

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Analyst Related jobs

Other jobs at LEO Learning

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.