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Real Estate Sql Python Jobs (NOW HIRING)

Waymo

Real Estate Strategy Analyst

Mountain View, CA · Hybrid

The Real Estate Strategy Analyst will play a pivotal role in supporting strategic real estate ... Advanced Excel, experience with SQL, Python, Looker * Strategic Thinking & Financial Acumen

Waymo

Real Estate Strategy Analyst

Mountain View, CA · On-site

$120K - $151K/yr

The Real Estate Strategy Analyst will play a pivotal role in supporting strategic real estate ... Advanced Excel, experience with SQL, Python, Looker * Strategic Thinking & Financial Acumen

Waymo

Real Estate Strategy Analyst

Mountain View, CA · On-site +1

$120K - $151K/yr

The Real Estate Strategy Analyst will play a pivotal role in supporting strategic real estate ... Advanced Excel, experience with SQL, Python, Looker * Strategic Thinking & Financial Acumen

Waymo

Real Estate Strategy Analyst

Mountain View, CA · On-site +1

$120K - $151K/yr

Real Estate Strategy Analyst Waymo is an autonomous driving technology company with the mission to ... Advanced Excel, experience with SQL, Python, Looker * Strategic Thinking & Financial Acumen

County of Chester

Real Estate Analyst

West Chester, PA

$72K/yr

Summary The Real Estate Analyst is responsible for Assessment system administration, application ... Expert level knowledge/skill with Oracle Databases and SQL Plus or PL/SQL Programming. Intermediate ...

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How much do real estate sql python jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for real estate sql python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Real Estate Data Analyst specializing in SQL and Python, and why are they important?

To excel as a Real Estate Data Analyst with a focus on SQL and Python, you need strong analytical skills, experience in real estate market dynamics, and a relevant degree in data science, economics, or a related field. Expertise in SQL for database management, Python for data analysis and automation, and familiarity with real estate management platforms are typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These competencies enable professionals to drive data-informed decisions, optimize investments, and provide actionable recommendations in the fast-paced real estate industry.

How does a Real Estate SQL Python professional typically collaborate with other teams within a real estate company?

As a Real Estate SQL Python professional, you will frequently collaborate with data analysts, property managers, and business development teams. Your main responsibility is to manage, analyze, and extract insights from large real estate databases using SQL and Python, which supports decision-making across departments. Effective communication is key, as you'll translate technical findings into actionable business recommendations and often participate in cross-functional meetings to align data solutions with business goals. This collaborative approach not only enhances the accuracy of market analyses but also improves the efficiency of property management and client outreach strategies.

What are Real Estate SQL Python jobs?

Real Estate SQL Python jobs refer to positions that require expertise in managing, analyzing, and interpreting real estate data using SQL databases and Python programming. Professionals in these roles often work with large datasets related to property listings, transactions, and market trends, using SQL for data extraction and manipulation, and Python for data analysis, automation, and reporting. These jobs are common in real estate technology companies, brokerages, and investment firms that rely on data-driven decision-making.

What is the difference between Real Estate Sql Python vs Real Estate Data Analyst?

AspectReal Estate Sql PythonReal Estate Data Analyst
Required SkillsSQL, Python, data analysis, real estate knowledgeData analysis, Excel, SQL, real estate understanding
Work EnvironmentData teams, real estate firms, tech companiesReal estate agencies, investment firms, consulting
CertificationsSQL, Python certifications, real estate licenses (optional)Data analysis certifications, real estate licenses (optional)

Real Estate Sql Python roles focus on leveraging SQL and Python to analyze real estate data, often requiring technical certifications. Real Estate Data Analysts also analyze property data but may use a broader set of tools like Excel and focus more on reporting and insights. Both roles are vital in the real estate industry but differ in technical depth and toolsets.

Infographic showing various Real Estate Sql Python job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Real Estate Strategy Analyst

Real Estate Strategy Analyst

Waymo

Mountain View, CA • Hybrid

Other

Posted 14 days ago

Job description

The Real Estate Strategy Analyst will play a pivotal role in supporting strategic real estate decision-making across a dynamic client portfolio. This role blends data analysis, stakeholder engagement, and business case development to drive operational excellence and portfolio strategy. The ideal candidate thrives in a fast-paced, matrixed environment and is passionate about transforming complex data into actionable insights.

In this hybrid role, you will report to the Senior Director, Global Places and Services 

You will

  • Data Stewardship: Manage the end-to-end lifecycle of portfolio data, ensuring high integrity in supply/demand metrics, KPIs, and market health reporting.
  • Requirements Gathering: Formalize demand forecasts into detailed real estate requirement documents for expansion, consolidation, and sequencing.
  • Predictive Modeling: Build and maintain supply/demand models to generate the data-driven forecasts used for long-term strategic planning.
  • Inform Documentation: Produce standardized reports and strategic briefings that translate complex analytics into actionable insights for leadership.
  • Technical Liaison: Define and document technical requirements for the analytics team to ensure dashboards align with business strategy.
  • Analytical Support: Execute data-heavy ad-hoc analysis to support business case development and multi-market occupier engagements.

You have

  • Education: Bachelor's degree in Business, Real Estate, Finance, Information Systems, or a related quantitative field.
  • Experience: 4 years of experience in data analysis, corporate real estate, or business intelligence.
  • Technical Writing: Proven ability to create clear, concise documentation and process workflows.
  • Analytical Rigor: Exceptional attention to detail with the ability to manage large datasets without compromising accuracy.
  • Agility: Ability to pivot between deep-dive data tasks and collaborative project coordination in a fast-paced environment.

We prefer:

  • Technical Stack: Advanced Excel, experience with SQL, Python, Looker
  • Strategic Thinking & Financial Acumen
  • Experienced Leadership & Development
  • Client Relationship Management
  • Experience with Data-Driven Decision Making
  • Communication & Collaboration among teams and clients 

Travel requirements:

  • 10 to 20%

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