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Columbia University’s IEOR Department seeks an Operations and Data Analyst to support data systems, reporting, and automation across academic, admissions, career, and administrative functions. You will maintain data accuracy and reliability, implement recurring processes, and create dashboards to inform decision-making.
The role emphasizes collaboration, documentation, and continuous improvement of data workflows within a 35-hour work week on-site at Morningside.
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Under general supervision of the Senior Associate Director of Academic and Student Affairs, the Operations and Data Analyst provides operational and technical support for established data systems, reporting, and routine automation used across the academic, admissions, career, and administrative functions of the IEOR Department. Duties vary and the incumbent exercises judgment in selecting appropriate methods to complete assignments, verifying the accuracy of data and outputs, and taking corrective action when needed. Work products (e.g., reports, dashboards, queries, documentation, and data extracts) are relied upon as final source material, with review conducted periodically and/or on a sample basis.
The position focuses primarily on maintaining existing systems and reports, executing recurring processes, ensuring data integrity, and responding to department reporting and operational needs. The role collaborates with staff and stakeholders to support consistent use of tools, improve efficiency through incremental enhancements, and elevate complex technical issues as appropriate.
A bachelor’s degree or equivalent experience is required; graduate-level work is preferred.
Minimum of 2 years of experience working with data.
Technical Skills: Familiarity with programming, scripting, or automation tools such as Python, JavaScript, macros, or similar technologies.
Data Skills: Experience working with data and reporting tools such as SQL, Excel, and Google Sheets.
Systems: Ability to learn and work within CRM and institutional systems; experience with Slate or a similar CRM is preferred.
Problem-Solving & Learning: Ability to troubleshoot data or system issues, understand how systems work, and quickly learn new tools.
Professional Strengths: Strong analytical and problem-solving skills; clear communicator with both technical and non-technical audiences; adaptable, collaborative, forward-thinking, and solution-oriented.
Candidate must exercise good judgment and flexibility, with a student-wellness mindset. Positive, mission-oriented, forward-thinking attitude and sense of humor a must
Columbia University is committed to the hiring of qualified local residents.