Data Modeler (CEMI)

Requirements

• Experience with BI and analytics tools (e.g., Power BI, Tableau, OBIEE)
• Experience with ERP systems (e.g., Workday, PeopleSoft, SAP, Oracle)
• Experience in higher education or similarly complex organizational environments
• Familiarity with data lake architectures and modern analytics ecosystems
• Experience developing data modeling standards and documentation
• Application Information:
• A resume is required for further consideration for this positi

Benefits

Additional Information

Working Title: Data Modeler (CEMI) [Remote] [2 Year Term] No Visa Sponsorship is available for this position. This is a two (2) year term appointment which may be ended or extended based on organizational needs, funding availability, and performance. About Information Technology @ Cornell Information Technology (IT) is a strategic enabler for many functions at Cornell University, with staff located across colleges, administrative units, and campuses throughout the institution. While comprised of many organizations, IT operates as one partnering closely with faculty, staff, and students to support teaching, research, and business operations. By being embedded where the Cornell community is, IT is well positioned to provide support ranging from day‑to‑day needs to large, complex initiatives that advance major academic, research, and operational objectives across the university. Check out this link to find out more about IT@Cornell . The Data & Analytics function supports enterprise reporting and decision-making by integrating data from ERP systems and other institutional sources into a centralized data environment. The team develops scalable data models, analytics solutions, and reporting tools that enable business units across the university to efficiently access, interpret, and act on data. What will you do: The Data Modeler (CEMI) serves as a senior individual contributor responsible for the design, development, and maintenance of enterprise data models and analytics solutions supporting institutional reporting and decision-making. This position leads the design of dimensional data models, data warehouses, and data marts, translating complex business requirements into scalable, high-performance data structures. This position will analyze source data structures and business processes from which they will build fact and dimension tables in a database. This role requires ability to work with SQL and to understand database fundamentals. This role will also be involved with the testing and validation of both data and models. The role works collaboratively with business stakeholders, data architects, developers, and analysts to define requirements, design solutions, and ensure data quality and usability across reporting platforms. The Data Modeler functions as a technical authority and subject matter expert, guiding data design standards, mentoring peers, and ensuring solutions align with enterprise architecture and performance expectations. Work is highly complex, involving multiple systems (e.g., ERP, data lake environments) and requires advanced analytical, technical, and problem-solving capabilities. This is a two (2) year term appointment which may be ended or extended based on organizational needs, funding availability, and performance. While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others. Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field and 5-7 years of relevant experience, or equivalent combination of education and experience. Demonstrated expertise in: Dimensional data modeling (fact/dimension design) Data warehousing, data marts, and data architecture SQL development, query optimization, and data profiling Source-to-target mapping and ETL processes Experience translating business requirements into technical data solutions and models Strong understanding of data structures, relationships, and database design principles (PK/FK, schemas) Experience working across complex, multi-system environments (ERP, analytics platforms, etc.) Ability to lead design sessions, facilitate requirements gathering, and guide technical solutions Demonstrated ability to analyze and solve complex problems and develop scalable and efficient data solutions Communicate technical concepts to non-technical stakeholders Experience mentoring or providing technical guidance to peers Ability to manage multiple priorities in a fast-paced, evolving environment Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.

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