Data Engineer/Analyst

• Prepare performance reports, and recommendations to senior management, investment committees, and external stakeholders.
• Analyze large datasets to identify market trends, risks, and investment opportunities.
• Collaborate with acquisitions, asset management, and property management teams to optimize portfolio performance and support data-driven investment strategies.
• Design and implement advanced reporting solutions and dashboards, leveraging business intelligence tools to provide actionable insights for investment and operational decisions.
• Build and maintain data pipelines to integrate property, market, and financial data from systems including YARDI and ARGUS, to ensure clean, reliable data for analytics and reporting.
• Ensure compliance with internal controls and industry best practices in data governance, security, and reporting.

Stoltz Management is unable to sponsor or take over sponsorship of United States employment visas at this time

We are seeking a seasoned professional with expertise in data engineering, data management, analytics, and reporting to join our team. This multifaceted role integrates core responsibilities in data governance, portfolio analysis, and performance reporting with advanced research and data-driven decision-making. The ideal candidate will play a pivotal role in supporting strategic initiatives across asset management and operational reporting by transforming complex datasets into actionable insights. This position requires a strong analytical mindset, a collaborative approach, and the ability to communicate findings effectively to both technical and non-technical stakeholders.

• Strong proficiency in SQL and database principles for querying, transforming, and validating data across multiple systems to support analytics, reporting, and data pipeline development.
• Strong analytical skills with the ability to interpret and synthesize complex data into actionable insights.
• Meticulous attention to detail, organizational skills, and the ability to manage multiple projects simultaneously.
• Familiarity with predictive analytics, risk modeling, and portfolio optimization.
• Experience implementing data modeling techniques (e.g. star schema, snowflake schema) to structure data for efficient querying and reporting performance.
• Bachelor’s degree in Accounting, Business, Data Science, Management Information Systems, Computer Science, Statistics, Data Analytics, or a related field.
• Excellent communication and presentation skills, with the ability to convey complex findings to diverse audiences.
• Demonstrated expertise in data management, analytics, and reporting.
• Previous involvement in the integration or migration of real estate data systems.
• 3+ years of experience in real estate private equity, acquisitions, asset management, financial planning, accounting, or a related analytical role.
• Experience designing, building, and maintaining a data warehouse to support business intelligence platforms such as Tableau and Power BI.
• The ideal candidate will have hands-on experience in Commercial Real Estate across one or more of industrial, multifamily, retail, or office property types. This preference is not a requirement.
• A basic familiarity with financial modeling tools such as Excel and Argus is preferred. While deep expertise is not required, the ability to navigate and understand detailed financial models will be beneficial in supporting portfolio analysis and reporting tasks.