{"schemaVersion":"jobsearcher.job.v1","id":"069a4c80aecbb23d9190e628","url":"https://jobsearcher.com/jobs/069a4c80aecbb23d9190e628","canonicalUrl":"https://jobsearcher.com/jobs/069a4c80aecbb23d9190e628","title":"Associate, Analytics Engineer","description":"Please review the Job Applicant Privacy Notice.\n\nAbout Us\n\nPerform 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.\n\nOur 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:\n\n• Act with Intention\n\n• Make It Happen\n\n• Raise the Bar\n\n• Stay Curious\n\n• Win as One\n\nJoin a team where performance and partnership go hand in hand.\n\n-\n\nRole Summary\n\nOur 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.\n\nThis role reports to the Vice President, Data & Analytics and is based in the office, 5 days a week.\n\n-\n\nEssential Job Functions\n\nBuild data transformation layers that deliver clean, unambiguous, stakeholder-ready information to our data warehouse\n\nShift measurement decisions from ad-hoc queries and BI tools to flexible silver and gold data layers\n\nEnable recurring, exploratory, and self-service reporting capabilities, driving stakeholders to make faster, better-informed decisions in their daily work\n\nEnsure data quality via documented lineage, automated checks, and clear definitions, making our results trustworthy by default\n\nSupport data governance & stakeholder engagement, encouraging accuracy in interpretation\n\nModel the successful use of AI as a capability, leveraging data model outputs via MCPs, and balancing AI tooling efficiencies with domain expertise\n\n-\n\nQualifications and Technical Competencies\n\n5+ years building data models and pipelines in an analytics engineering, data engineering and/or BI engineering role\nAdvanced proficiency in SQL and DBT (or a comparable transformation and testing framework)\nDemonstrable success working with modern data warehouses (Databricks, Snowflake, BigQuery, RedShift)\nExperience with cloud infrastructure (Azure, AWS, or GCP)\nExperience with cloud-hosted data visualization tooling\nWorking knowledge of dimensional modelling, curated / medallion-layer design, Git and CI/CD for analytics\nDemonstrable ability to translate business questions into durable data models with agreed metric definitions\nStrong requirements-gathering and stakeholder-management skills\n\nNice-to-haves\n\nAdvanced proficiency in Azure Platform as a Service\nProficiency in common data engineering tools (Apache Airflow, Azure Data Factory)\nAdvanced proficiency in common visualization tools (Tableau, PowerBI)\nBachelor's Degree in Computer Science, Mathematics, Analytics, or relevant tertiary education\n\n-\n\nBenefits & Compensation\n\nBenefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).\n\nBase 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.\n\nThe 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.\n\nClosing\n\nEEO Statement\n\nOur 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\n\n#LI-Onsite","company":"Perform Properties","rawCompany":"perform properties","city":"Chicago","state":"IL","isRemote":false,"isActive":true,"createdAt":"2026-08-22T10:55:03.896Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"531312","title":"Nonresidential Property Managers","slug":"nonresidential-property-managers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate, Analytics Engineer","description":"Please review the Job Applicant Privacy Notice.\n\nAbout Us\n\nPerform 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.\n\nOur 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:\n\n• Act with Intention\n\n• Make It Happen\n\n• Raise the Bar\n\n• Stay Curious\n\n• Win as One\n\nJoin a team where performance and partnership go hand in hand.\n\n-\n\nRole Summary\n\nOur 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.\n\nThis role reports to the Vice President, Data & Analytics and is based in the office, 5 days a week.\n\n-\n\nEssential Job Functions\n\nBuild data transformation layers that deliver clean, unambiguous, stakeholder-ready information to our data warehouse\n\nShift measurement decisions from ad-hoc queries and BI tools to flexible silver and gold data layers\n\nEnable recurring, exploratory, and self-service reporting capabilities, driving stakeholders to make faster, better-informed decisions in their daily work\n\nEnsure data quality via documented lineage, automated checks, and clear definitions, making our results trustworthy by default\n\nSupport data governance & stakeholder engagement, encouraging accuracy in interpretation\n\nModel the successful use of AI as a capability, leveraging data model outputs via MCPs, and balancing AI tooling efficiencies with domain expertise\n\n-\n\nQualifications and Technical Competencies\n\n5+ years building data models and pipelines in an analytics engineering, data engineering and/or BI engineering role\nAdvanced proficiency in SQL and DBT (or a comparable transformation and testing framework)\nDemonstrable success working with modern data warehouses (Databricks, Snowflake, BigQuery, RedShift)\nExperience with cloud infrastructure (Azure, AWS, or GCP)\nExperience with cloud-hosted data visualization tooling\nWorking knowledge of dimensional modelling, curated / medallion-layer design, Git and CI/CD for analytics\nDemonstrable ability to translate business questions into durable data models with agreed metric definitions\nStrong requirements-gathering and stakeholder-management skills\n\nNice-to-haves\n\nAdvanced proficiency in Azure Platform as a Service\nProficiency in common data engineering tools (Apache Airflow, Azure Data Factory)\nAdvanced proficiency in common visualization tools (Tableau, PowerBI)\nBachelor's Degree in Computer Science, Mathematics, Analytics, or relevant tertiary education\n\n-\n\nBenefits & Compensation\n\nBenefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).\n\nBase 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.\n\nThe 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.\n\nClosing\n\nEEO Statement\n\nOur 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\n\n#LI-Onsite","datePosted":"2026-08-22T10:55:03.896Z","dateModified":"2026-08-22T10:55:03.896Z","hiringOrganization":{"@type":"Organization","name":"Perform Properties","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"069a4c80aecbb23d9190e628"},"url":"https://jobsearcher.com/jobs/069a4c80aecbb23d9190e628"}}