Business Data and Analytics Intern Job at Pine Tree, Oakbrook Terrace, IL

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  • Pine Tree
  • Oakbrook Terrace, IL

Job Description

Pine Tree

Founded in 1995, Pine Tree is the premier owner and operator of open-air shopping centers in the US with over 17 million square feet and $3 billion of assets under management. Pine Tree employees are guided by our core values of collaboration, trust, diligence, and empathy to optimize and grow our portfolio through elevated, insightful, and value-driven solutions for our stakeholders. Pine Tree is an equal opportunity employer. Learn more at

Summary of Position

Pine Tree is seeking a highly motivated and detail-oriented Business Data and Analytics Intern to join the Investments & Asset Management team. This role is ideal for a data-driven professional who thrives in a fast-paced, dynamic environment and is passionate about transforming complex data into meaningful insights that support business strategy and operations. The successful candidate will design and maintain reporting dashboards, support data infrastructure, and collaborate cross-functionally with various internal teams to drive transparency, efficiency, and informed decision-making.

Responsibilities

  • Design, build, and support departmental databases and dashboards using Power BI, Tableau, or other data visualization platforms.
  • Gain hands-on exposure to the retail real estate industry by actively participating in acquisition, asset management, and investment meetings, to build tools and solutions that directly support business strategy and decision-making.
  • Extract, compile, and analyze data for both ad-hoc and recurring reporting, including audit and regulatory queries.
  • Create new visualizations and tools for our external client dashboard
  • Ensure data integrity and consistency across all reporting and analytics platforms.
  • Build and maintain strong working relationships with internal teams and external partners.
  • Serve as a liaison between departments to facilitate the flow of information and support cross-functional initiatives.
  • Assist with additional data and business-related responsibilities as needed.

Desired Skillset & Qualifications

  • Rising Junior or Senior pursuing a Bachelor’s degree in Data Analytics, Finance, Computer Science, Economics, or a related field (preferred)
  • Experience with Microsoft Power BI or SQL (preferred)
  • Experience with Python, R, or another programming language (a plus).
  • Strong analytical, quantitative, and problem-solving skills.
  • Ability to work independently while managing multiple priorities under tight deadlines.
  • Excellent verbal, written, and interpersonal communication skills; comfortable engaging with stakeholders at all levels.
  • Demonstrated ability to synthesize complex data into clear insights aligned with business goals.
  • Eagerness to contribute to a fast-paced, energetic, and collaborative work environment.
  • Skilled in communication with executive stakeholders and translating technical issues for non-technical audiences.

Candidates will be required to complete an Excel proficiency assessment as part of the interview process.

Additional Internship Program Benefits

In addition to the responsibilities above, the program offers participants the following professional development opportunities:

  • Interaction with Senior Leadership: 1-on-1 meetings with department heads and executive leadership
  • Exposure to Other Departments: Provides an understanding of how a large real estate operating company is connected
  • Professional Development Opportunities : Provides access to Pine Tree’s Human Resources department, which will help them refine their resume, enhance their online professional presence, and develop interviewing and networking skills.

The position responsibilities outlined above are in no way to be construed as all-encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Compensation

Weekly stipend

Pine Tree is an equal-opportunity employer.

Job Tags

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