Research Assistant for Big Data Analytics/Marketing Research - Tepper School of Business

We are the Tepper School of Business, where human intelligence unlocks the power of data. As part of Carnegie Mellon University, we're uniquely positioned at the intersection of business, technology and human creativity to tackle modern challenges.

Our approach goes beyond a traditional business education. We empower you to harness artificial intelligence (AI) and other advanced tools through experimental, hands-on learning. At the same time, you build ethical and equitable leadership skills to help your team and company grow

Carnegie Mellon University's Tepper School of Business is searching for a Research Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by providing support an academic research project involving large-scale data analysis. This role will work with Professors Mohsen Foroughifar, Joy Lu, and Minkyung Kim on data processing, statistical/econometric modeling, and research workflow support.

Core responsibilities include:

• Clean, merge, and process large-scale datasets; develop reproducible data pipelines.
• Conduct statistical analyses and econometric modeling in support of research hypotheses.
• Implement and document code in Python (preferred), including data manipulation and estimation routines.
• Produce tables, figures, and written summaries of results for internal research use.
• Support robustness checks, validation analyses, and sensitivity analyses.
• Maintain clear documentation, version control practices, and organized project files.
• Collaborate closely with faculty supervisors; participate in regular check-ins and respond to iterative analysis requests
• Other duties as assigned

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate:

• Strong Python skills for data analysis (e.g., pandas/numpy/statsmodels or equivalent).
• Familiarity with econometrics and statistical analysis (e.g., regression, causal inference basics, panel data, clustering/robust SEs--depending on project needs).
• Experience working with large datasets (performance-aware data handling, efficient workflows).
• Strong attention to detail, ability to write clean and reproducible code, and ability to communicate results clearly.

Qualifications:

• Bachelor's degree in a field closely related to Marketing, Information Systems, Statistics, Economics, Business Analytics, Computer Science, or a related discipline required; Master's degree preferred
• 3-5 years prior research experience and/or relevant experience (academic or industry research setting) required
• Experience with big-data tooling (e.g., SQL, Spark/Databricks, cloud computing) is a plus.
• Experience with version control (Git/GitHub) and reproducible research practices.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful completion of a pre-employment background check

Additional Information:

• Work Posture: This position is operating on a hybrid schedule, with an on-campus/in-office presence three days a week.
• This is a part-time (20 hours/week), non-exempt position based in Pittsburgh, PA.
• Fixed Term: This is a fixed-term position with an estimated duration of two months.