Tenure Track Professor of Data Analytics

Candidates with a Ph.D. in applied fields related to data analytics, especially with expertise in interdisciplinary approaches like sports analytics, tend to be highly competitive. Demonstrated teaching ability across diverse analytics courses and a strong research background in data-driven methodologies also enhance candidacy.

Starting as an assistant professor, professionals often focus on research, teaching, and service. With successful publications and student mentorship, they progress to associate and full professor roles, gaining tenure and leadership opportunities within data science education and analytics research groups.

The role usually involves preparing and delivering lectures on various analytics topics, supervising student projects, conducting original research especially in interdisciplinary data analysis, and participating in curriculum development to enhance the data analytics program.

While formal certifications are less critical, engagement with Ohio's regional data science hubs and partnerships with local industries can enrich teaching and research. Familiarity with regional economic trends and sports analytics communities in Newark can provide valuable context.

Newark's academic environment values interdisciplinary analytics roles, but the niche nature of tenure track positions means opportunities are limited and competitive. Candidates blending strong research portfolios with applied data science skills generally have an edge locally.

The association places high value on research excellence and interdisciplinary collaboration. Professors are expected to contribute to advancing data analytics scholarship aligned with economic theory and practice, fostering integration between analytics and economic research.

This position benefits from access to a network of economists and data scientists, enabling research collaborations and guest lectures. The association supports developing innovative analytics curricula that bridge economic analysis with data-driven methodologies.

Salaries typically range from $75,000 to $110,000 annually, reflecting regional academic standards and tenure track norms. Compensation depends on experience, research achievements, and the ability to contribute effectively to interdisciplinary data analytics education.

Focusing on sports analytics allows professors to tap into applied data questions relevant to athletics, enriching research and student projects. This specialization fosters engagement with real-world datasets, enhancing the liberal arts curriculum’s practical relevance.

With a typical load of five courses per academic year, professors balance classroom responsibilities with research and service. This moderate teaching commitment allows time for scholarly activities while supporting diverse student engagement across multiple analytics levels.