Investment Data Analyst Job at The Inland Real Estate Group LLC, Oak Brook, IL

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  • The Inland Real Estate Group LLC
  • Oak Brook, IL

Job Description

Are you passionate about financial modeling, data analytics, and real estate investment strategy? Do you enjoy blending traditional financial analysis with modern analytical tools to drive smarter decision-making? If so, we want you on our team.

We're seeking an Investment Analyst to support our Acquisition & Investment Analytics team. In this role, you'll work at the intersection of real estate, finance, and data-helping enhance underwriting accuracy, improve portfolio insights, and support major acquisition and syndication decisions.

What You'll Do
  • Uphold the highest standards of integrity while following company policies and all regulatory requirements.
  • Build and refine financial models using Excel and Python .
  • Extract, clean, and transform data using SQL, Excel, and Python to support underwriting, portfolio analytics, and market research.
  • Assist in developing automated dashboards using Power BI or Tableau .
  • Support predictive analytics initiatives (e.g., rent forecasting, risk scoring, occupancy trends).
  • Conduct scenario, sensitivity, and Monte Carlo analyses to evaluate risk-adjusted returns.
  • Research real estate markets, asset classes, tenants, and portfolio performance to support financial modeling.
  • Update and enhance existing models with feedback from senior team members.
  • Prepare clear, concise documentation and analysis summaries for presentations, proposals, and internal reports.
  • Translate complex quantitative findings into actionable, business-friendly insights.
  • Support ad-hoc reporting and special projects as needed.
What We're Looking For

Education
  • Bachelor's degree required (Finance, Economics, Data Science, Business Analytics, or related field).
  • Master's degree is a plus (MS in Business Analytics, Data Science, Finance, or Applied Economics).
Experience
  • 0-2 years of work experience.
  • Exposure to data analytics, quantitative modeling, or real estate analytics is a plus.
Skills
  • Advanced Excel skills (Power Query and VBA a plus).
  • Proficiency in Python (Pandas, NumPy, Scikit-learn preferred).
  • Ability to build dashboards using Power BI or Tableau .
  • Strong SQL skills for data extraction and transformation.
  • Experience with real estate tools such as ARGUS, CoStar, or Yardi is a plus.
  • Strong communication skills with the ability to simplify analytical findings.
Why Join Us?
  • Opportunity to work on high-impact investment decisions.
  • Exposure to advanced analytics, modern data tools, and real estate finance.
  • Collaborative team environment with opportunities for growth and mentorship.
  • A role that blends financial acumen with cutting-edge analytical techniques.
Annual Base Salary Range: $74,000-$82,000 . This position is eligible to participate in the company's annual discretionary bonus program.


Inland offers a competitive range of benefits for eligible Full-time employees:
  • Medical/Dental/Vision insurance (PPO)
  • Participation in the company 401(k) plan with a company match
  • Vacation Time, Nine Paid Holidays, Three floating holidays per year
  • Sick time
  • Tuition reimbursement opportunity
  • Company-paid life insurance equaling your annual base salary
  • Company-paid short-term and long-term disability
  • Paid Parental Leave

This position is eligible as an internal promotion opportunity.


To learn more about the Benefits Inland offers its employees please click the link to learn more.


We are a drug-free workplace. Pre-employment background checks and drug screening is performed on all new hires, in accordance with applicable laws and regulations.


We are an Equal Opportunity Employer. We consider applicants for all positions without regard to race, color, religion, sex, national origin, age, sexual orientation, familial, marital or veteran status, disability, or any other legally protected classes.


We are an E-Verify employer. Please click the following link to learn more.

Job Tags

Full time, Temporary work, Work experience placement

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