Associate, Analytics Engineer

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About Us

Perform Properties is a Blackstone Real Estate portfolio company focused on highperforming retail and office properties with peopleappeal - 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:

Act with Intention

Make It Happen

Raise the Bar

Stay Curious

Win as One

Join a team where performance and partnership go hand in hand.

Role Summary

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.

Essential Job Functions

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

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Qualifications and Technical Competencies

• 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)
• Bachelors Degree in Computer Science Mathematics Analytics or relevant tertiary education

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Benefits & Compensation

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: $135000 - $185000. This represents the presently-anticipated low and high end of the Companys 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.

Closing

EEO Statement

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

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