Data Analyst

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Walker & Dunlop

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1937

💸 Finance

🏠 Real Estate

💰 $18M Post-IPO Equity on 2019-09

Finance • Real Estate

Walker & Dunlop is a leading provider of commercial real estate finance and advisory services. With over 85 years in business, the company has become one of the largest commercial real estate finance providers in the United States, offering a broad range of services including investment sales, loan servicing, and valuations. Walker & Dunlop also provides data-driven valuation and advisory services, leveraging their extensive network of capital sources and market insights to serve a wide array of property types such as multifamily, industrial, and retail. The company's approach combines large corporate capabilities with a boutique feel, supported by its robust technological infrastructure and diverse, experienced team.

📋 Description

• Analyze and curate existing data sources to support Product and Business stakeholders • Own defined components of the analytical lifecycle, from data exploration through insight delivery • Translate data into clear, actionable insights for technical and non-technical stakeholders • Maintain technical definitions and documentation for datasets • Design, build, and deliver Power BI reports and dashboards • Perform data wrangling and transformations using SQL within analytical databases • Partner with data teams on data management and governance efforts • Develop and maintain standard operating procedures for data ingestion and datamart creation • Analyze user engagement and product data to identify operational and business improvement opportunities • Apply and share best practices in data analysis, visualization, and stakeholder engagement

🎯 Requirements

• 3+ years of experience in data analysis, including end-to-end analytical projects • Experience with OLAP databases such as Redshift, Snowflake, BigQuery, or similar • Bachelor’s or Master’s degree, preferably in Computer Science or a related field • Exposure to Python 3.5 or later • Strong hands-on SQL skills • Proficiency with Power BI, Tableau, or similar data visualization platforms • Working knowledge of data ETL and processing techniques • Ability to leverage AI tools for technical documentation, reporting, and testing • Experience with geospatial querying is a plus • Experience in the real estate industry is a plus • Ability to translate non-technical stakeholder needs into user-focused analyses and reports • Strong interpersonal and collaboration skills • Proactive, team-oriented approach

🏖️ Benefits

• Agile working environment with flexible working hours and location • Career advancement • Competitive compensation package • Social activities for employees and families • Pension scheme • 100% complimentary and confidential mental health services