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Operations and Data Analyst

Dept Industrial Eng & Oper Res

Operations and Data Analyst

  • 527721
  • Morningside
  • Dept Industrial Eng & Oper Res
  • Full Time
  • Opening on: Jul 17 2022
  • Grade 11
  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary: Regular
  • End Date if Temporary:
  • Hours Per Week: 35
  • Salary Range:
 

Position Summary

The Operations and Data Analyst provides management and support to the finance and operations, academic and student affairs and admissions, and career functions of the Industrial Engineering and Operations Research “IEOR” Department


Responsibilities

  • (45%)Data Reporting & Management

    Provide data reports to Department Chair, Finance and Operations, Academic, and Career Teams; pull, collate and clean data from various systems to provide accurate information for presentations, data analysis, surveys, websites, strategy implementation, data audits; maintain historical data reporting (data includes student, courses, enrollment, faculty and adjunct teaching, appointment data, finance and reconciliations, career placements, admissions, grade review, etc.)

    Management and implement data tracking processes and systems; creating/maintaining student databases, tracking historical student advising notes and finance and appointment data

    Streamline data reporting processes and analysis across teams and Department, clean data and support data imports and exports.

    Create data visualization and presentations for admissions, academic, career and financial reporting purposes.

  • (30%) Systems and Applications

    Lead automation projects related to admissions and academic/student affairs (e.g. CPT/OPT process, clearances, course registration, course management system, registration audits)

    Vendor and new system management/implementation including contract negotiations, system rollout, testing, system/application review, implementation/planning of new technologies. Pulse of new technology for academic use to improve processing, data reporting, grade review, admissions, clearances, advising notes, career data and student placement, student database for centralized tracking and data reporting.

    Set/maintain the best practices for data reporting and processes across teams

    Maintain/improve student data and tracking, TA/CA appointments, adjunct appointment data and tracking, financial reconciliations; provide analytics

  • (20%) Administrative and Operations

    Support Departmental special events

    Provide and update content for Departmental website in the areas of admissions, academic and student affairs and curricular changes

    Assist with IEOR Student Navigator assignments, mentorship assignments, assigning students for yield activities during admissions

    Assist with townhall technologies, e.g. setting up zoom

    Work with System Administrator and respective teams on mailing lists

    Assist with Career, Academic and Finance Teams on various tasks during heavy volumes/deadlines

  • (5%) Other related duties, as assigned


Minimum Qualifications

  • A bachelor degree is required; graduate level work is preferred. Minimum of 2-4 years of related experience with data and data analytics; with an ability to identify, analyze trends and interpret the data.
  • Rigorous attention to detail and accuracy is essential; ability to manage multiple priorities with poise and discretion required.
  • Familiar and appreciate student and academic affairs, departmental program curriculum and requirements, and web management and administration.
  • Strong computer literacy/proficiency required: an understanding and appreciation of student services database software and on-line resources, and the willingness to respond to the needs of prospective and current students and faculty in a technologically-oriented society. Proficiency with Google suite of products, MS office, publishing software, etc.

 


Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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