data analyst in commercial real estate

Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, helping real estate owners and operators develop communities where people live, work, shop, and play. Its WDTech team develops real estate data, data science, and technology solutions that support products, people, and processes across the organization.

• Analyze and curate data sources to support business and product stakeholders in making informed decisions;
• Lead key components of the analytical lifecycle, including data exploration, analysis, reporting, and insight delivery;
• Translate complex data into clear, actionable insights for technical and non-technical audiences;
• Develop and maintain Power BI dashboards, reports, and analytical solutions;
• Perform data wrangling, transformation, and analysis using SQL and enterprise analytical databases;
• Define and document datasets, business logic, and reporting definitions to support consistent data usage;
• Partner with data and product teams to support data governance, data quality, and data management processes;
• Analyze user engagement, operational, and product data to identify trends and opportunities for improvement;
• Mentor junior analysts and promote best practices in analytics, visualization, and stakeholder collaboration;
• Perform other duties as assigned.

• Bachelor’s degree preferred, preferably in Computer Science, Data Analytics, Information Systems, Mathematics, or a related field;
• 6+ Years of experience in data analysis, business intelligence, or analytics roles;
• Demonstrated ownership of end-to-end analytical projects;
• Strong experience with enterprise analytical databases such as Snowflake, Redshift, BigQuery, or similar technologies;
• Experience developing dashboards and reporting solutions using Power BI, Tableau, or similar visualization tools;
• Experience with SQL, data transformation, and analytical reporting workflows;
• Deep expertise in SQL and data analysis techniques;
• Understanding of data modeling, ETL processes, and analytical best practices;
• Ability to communicate technical concepts and analytical findings clearly to business and technical audiences;
• Strong analytical, organizational, and problem-solving skills;
• Ability to work collaboratively across technical and business teams in a fast-paced environment;
• High level of accountability, attention to detail, and commitment to continuous improvement;
• Ability to show ownership of work, take on challenges, acknowledge growth opportunities, and demonstrate patience when learning new processes;
• Courtesy, respect, and thoughtfulness when working with colleagues and stakeholders;
• Nice to have: Python, geospatial analysis, real estate or financial services experience, familiarity with AI-enabled tools for reporting, documentation, and analysis workflows.

• Flexible working hours and location;
• Competitive compensation package;
• Career advancement opportunities;
• Family-friendly company;
• Social activities for employees and families;
• Pension scheme;
• 100% Complimentary and confidential mental health services.