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Perform Properties is seeking an Analytics Engineer to transform raw data into trusted, well-modeled datasets used across Investments, Portfolio, Operations and Finance. You will own the transformation layer, build curated data sources, and support reporting, BI, and AI initiatives.
This role sits between Data Engineering and Analytics, reporting to the VP of Data & Analytics, and is based in the office, five days a week.
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About Us Perform Properties is a Blackstone Real Estate portfolio company focused on high‑performing retail and office properties with people‑appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, we oversee approximately 30 million square feet of properties across the U.S. Our culture is built on our OneTeam foundation - a shared commitment to collaboration, innovation, and knowledge sharing across roles, teams, and time zones. Guided by this foundation, our OneTeam Core Values define how we show up every day:
Join a team where performance and partnership go hand in hand.
Our Analytics Engineer turns raw, multi-source data into trusted, well-modelled datasets that the whole business can use. Sitting between Data Engineering and Analytics, this role owns the transformation layer: the models, tests, and documentation that feed reporting, BI, and AI across Investments, Portfolio, Operations and Finance. This is a hands‑on, high‑leverage role, building the curated, source‑of‑truth foundation that lets Perform automate reporting, cut the coordination tax between systems, and shorten the time‑to‑Insight for decision‑makers. This role reports to the Vice President, Data & Analytics and is based in the office, 5 days a week.
Build data transformation layers that deliver clean, unambiguous, stakeholder‑ready information to our data warehouse
Shift measurement decisions from ad‑hoc queries and BI tools to flexible silver and gold data layers
Enable recurring, exploratory, and self‑service reporting capabilities, driving stakeholders to make faster, better‑informed decisions in their daily work
Ensure data quality via documented lineage, automated checks, and clear definitions, making our results trustworthy by default
Support data governance & stakeholder engagement, encouraging accuracy in interpretation
Model the successful use of AI as a capability, leveraging data model outputs via MCPs, and balancing AI tooling efficiencies with domain expertise
5+ years building data models and pipelines in an analytics engineering, data engineering and/or BI engineering role
Advanced proficiency in SQL and DBT (or a comparable transformation and testing framework)
Demonstrable success working with modern data warehouses (Databricks, Snowflake, BigQuery, RedShift)
Experience with cloud infrastructure (Azure, AWS, or GCP)
Experience with cloud‑hosted data visualization tooling
Working knowledge of dimensional modelling, curated / medallion-layer design, Git and CI/CD for analytics
Demonstrable ability to translate business questions into durable data models with agreed metric definitions
Strong requirements‑gathering and stakeholder‑management skills
Nice‑to‑haves Advanced proficiency in Azure Platform as a Service
Proficiency in common data engineering tools (Apache Airflow, Azure Data Factory)
Advanced proficiency in common visualization tools (Tableau, PowerBI)
Bachelor's Degree in Computer Science, Mathematics, Analytics, or relevant tertiary education
Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).
Base Salary Range: $135,000 - $185,000. This represents the presently‑anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience. The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.
#LI-Onsite Perform Properties is a best‑in‑class, diversified real estate operating platform with expertise in high‑quality, grocery anchored shopping centers and premier office assets. Perform is positioned to create more engaging experiences for customers, deliver long‑term value for tenants, and drive stronger performance across its portfolio. Perform has expertise in transactions, development, leasing, and management, and benefits from a multi‑sector focus, data‑driven strategy, and national reach. The company focuses on properties with People‑Appeal—dynamic spaces where people and businesses actively choose to work, shop, and gather, enhancing the communities around them. Formed through the combination of ShopCore, ROIC, and EQ Office, Perform Properties leverages the shared experience, scale, and operational strengths of three leading organizations.
Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email recruiting@performproperties.com
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