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Evening Real Estate Data Science Jobs (NOW HIRING)

MIG Real Estate Services, LLC

Senior Data Analyst

$88K - $111K/yr

MIG Real Estate is looking for a Senior Data Analyst to join our growing real estate team ... Bachelor's degree in a field related to data science, or equivalent practical experience. * Minimum ...

Parker's Kitchen

Real Estate Analyst

Savannah, GA · On-site

The ideal candidate thrives in a data-driven environment, communicates insights clearly, and has a strong understanding of the convenience store, fuel retail, or broader retail real estate landscape.

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Boston, MA

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

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All JobsEvening Real Estate Data Science Jobs

Evening Real Estate Data Science information

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How much do evening real estate data science jobs pay per year?

As of Jul 6, 2026, the average yearly pay for evening real estate data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an Evening Real Estate Data Scientist?

An Evening Real Estate Data Scientist is a professional who applies data science techniques to analyze and interpret real estate data, typically working during evening hours. Their responsibilities often include examining property trends, evaluating investment opportunities, and creating predictive models to assist real estate companies or clients in making informed decisions. Working in the evenings can accommodate clients across different time zones or support organizations that operate outside standard business hours. These data scientists need strong analytical, statistical, and programming skills, often using tools like Python, R, and SQL. Their insights help optimize property valuation, marketing strategies, and operational efficiencies in the real estate sector.

What are the typical collaboration dynamics for an Evening Real Estate Data Science role?

In an Evening Real Estate Data Science role, you will often work closely with real estate analysts, property managers, and IT professionals to deliver data-driven insights outside of standard business hours. This unique schedule allows you to process and analyze large datasets with minimal interruptions while providing timely updates for teams starting their day. Regular communication is maintained via digital channels, and you may participate in virtual meetings or handoff sessions to ensure seamless workflow continuity. Collaboration is key, so strong remote communication and documentation skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as an Evening Real Estate Data Scientist, and why are they important?

To excel as an Evening Real Estate Data Scientist, you need strong analytical skills, experience in statistical modeling, and a background in real estate, typically supported by a degree in data science, computer science, or a related field. Proficiency with tools like Python, R, SQL, and real estate analytics platforms such as CoStar or Zillow is essential, as well as familiarity with machine learning frameworks. Excellent problem-solving, communication, and time management skills help you translate complex data into actionable business insights, especially when working independently or on flexible evening schedules. These competencies are critical for providing accurate, timely analysis that supports strategic decision-making in the real estate sector.
What cities are hiring for Evening Real Estate Data Science jobs? Cities with the most Evening Real Estate Data Science job openings:
What are the most commonly searched types of Real Estate Data Science jobs? The most popular types of Real Estate Data Science jobs are:
What states have the most Evening Real Estate Data Science jobs? States with the most job openings for Evening Real Estate Data Science jobs include:
Evening Real Estate Data Science jobs near you

Senior Data Analyst

MIG Real Estate Services, LLC

Remote

$88K - $111K/yr

Full-time

Posted 29 days ago

Job description

MIG Real Estate is looking for a Senior Data Analyst to join our growing real estate team. Reporting to the CTO, you will be responsible for creating and operating a comprehensive data, reporting and visualization platform to support our acquisition, operation, and disposition of real estate assets. You will serve as a bridge between the business and the technical teams, and you will be a data analytics expert, including adopting and sharing best practice about collecting, cleaning, and organizing data to maximize our potential use of machine learning and AI. You will need a high level of technical and business acumen, excellent communication skills, and a demonstrated ability to work in a fast-paced business environment.
About The Job
At MIG Real Estate, data drives decision-making, and our team defines and interprets data to provide recommendations and perspectives to management and their teams. Our objective is to ensure that we have meaningful data and insights to make thoughtful decisions, most of which have a direct impact on our business. We also seek to build data fluency throughout the company.
In this role, you will work with a small team to expand and optimize our Microsoft Azure / Fabric data environment, including data pipeline architecture and Power BI-based dashboards and reports. The ideal candidate is an experienced data wrangler who enjoys working with multiple data sources, optimizing data architecture and semantic models, and working with users to ensure their business requirements are met using Excel and Power BI, including ad hoc queries and analysis.
As a key member of a small, growing team, you will also support other IT initiatives, including SharePoint and Teams enhancements, and tools to support automation of workflows and better collaboration.
Responsibilities
  • Manage the infrastructure for efficient ETL pipelines from a wide variety of data sources, primarily using SQL.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
  • Work with stakeholders across the firm to assist with data-related technical issues and support their data infrastructure needs.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Work with real estate colleagues to develop analytics and reporting to support our operations.
  • Build and maintain AI-assisted workflows and reporting automations in collaboration with the automation team.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Take on projects to support development of strategy and measure its effectiveness.
  • Own and govern shared Power BI semantic models deployed in Microsoft Fabric workspaces, ensuring accuracy, performance, and accessibility for business users.
  • Partner with the data engineering and automation team members on pipeline design, ETL and semantic model optimization, warehouse structure, and delivery of analytics-ready datasets.

Requirements
  • Advanced experience developing in Power BI and DAX, including ownership of shared semantic models and report governance in a multi-user environment. Tabular Editor experience strongly preferred.
  • Hands-on experience with Microsoft Fabric, including lakehouses, warehouses, and Fabric workspace administration.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience integrating Power BI with Excel, including CUBEVALUE-based reporting and Excel-as-reporting-layer patterns.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Familiarity with financial accounting and cost accounting concepts.
  • Strong analytic skills related to working with unstructured datasets (e.g., media, documents).
  • Familiarity with the mechanics of data preparation, data handling, data warehousing, and similar projects.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Strong project management and organizational skills.
  • Experience using and managing SharePoint sites and document libraries.
  • Working knowledge of multifamily and commercial real estate operations, including key performance metrics (NOI, occupancy, same-store variance, rent roll) and data providers (CoStar, RealPage, Argus Enterprise).
  • Familiarity with Yardi Voyager data structures, Argus Enterprise exports, or comparable property management and asset management systems strongly preferred.
  • Willingness to travel for periodic company meetings.

Qualifications
  • Bachelor's degree in a field related to data science, or equivalent practical experience.
  • Minimum of 4-5 years in a data analytics, visualization, and reporting role, with demonstrated ownership of production analytics environments and management of key stakeholders.

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