Analyst / Senior Analyst / Associate, Data Science and Engineering, Research & Analytics

Job Locations US-NY-New York


Link Logistics Real Estate (“Link”) owns and operates the largest U.S.-only portfolio of logistics real estate, leasing warehouse space to everyone from e-commerce giants to mom-and-pop shops. Established by Blackstone in 2019, we combine scale, cutting-edge technology, and logistics expertise to help our customers grow their businesses. Our portfolio includes more than 500 million square feet in dynamic markets nationwide. About 5 percent of U.S. GDP—translating to some $1 trillion every year—flows through the space Link customers occupy in our facilities.


Because we believe that good business must be synonymous with doing good, strong environmental, social and governance practices are foundational to our identity as a firm. These practices include setting ambitious goals to combat climate change, partnering with local nonprofits, and prioritizing internal diversity, equity and inclusion efforts. We seek to use our position, ideas and influence to drive progress in our industry and the wider world.  At Link, we give our customers space to grow—and we give people space to grow, too.


This position will be a key connection point between the data science processes designed by Link’s Research & Analytics team and the testing and monitoring of these processes by the Tech & Data team. The role offers the opportunity to manage complex existing processes as well as develop a data science skillset via in-depth, ad hoc data science projects.


Link’s research department is the largest and most successful research effort among Blackstone’s many portfolio companies. The group’s efforts began with using data science models to set and project market rents for all US industrial assets, infrastructure that is now being used by Link and Blackstone in key industrial budgeting and investment decision making processes. The team’s efforts have expanded into broader fundamental logistics research, helping Link management to forge a deep understanding of the long-term drivers of industrial real estate demand and building relationships and expertise in the realms of automation, warehouse management, and logistics. Link wishes to further expand and publicize these efforts in the coming year, making the research department a world-renowned player in fundamental industrial research and logistics expertise.


  • Develop, automate, and optimize data pipelines that will allow the Research & Analytics team to efficiently access, analyze, and model big data
  • Work with tech stakeholders to understand business requirements and collaborate with engineering teams to ensure data is flowing accurately from data creation to our presentation layers
  • Maintain the team's data warehouse and programming environment, and set up monitoring tools to ensure the reliability of the metrics that we report to stakeholders
  • Use data science tools to parse portfolio and industry performance in order to generate insights
  • Build analytical models using the R and Python programming languages to help us understand, predict, and forecast rents and other relevant metrics for our portfolio
  • Respond to requests from other departments for data or analysis
  • Prepare visualizations that effectively communicate trends, patterns, and predictions using relevant data
  • Communicate results and conclusions of analyses through Excel tables, PowerPoint charts, PowerBI dashboards, and brief write-ups
  • Ad hoc analytical support: Provide broader analytical support to the SVP of Research & Analytics


  • Bachelor's degree required
  • Proficient in Microsoft Excel, SQL, and Python (or R)
  • 1+ years of experience data modeling, data warehousing, and building ETL pipelines


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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