Tenure Track Professor of Data Analytics

Candidates who specialize in interdisciplinary data analytics fields, especially with a focus on applied areas such as sports analytics, are highly sought after. Proficiency in teaching data analytics skills across undergraduate levels enhances competitiveness in academic roles at institutions similar to Denison University.

Starting as an assistant professor, individuals usually engage in curriculum development and interdisciplinary research, advancing toward tenure through impactful publications and teaching excellence. Opportunities exist to shape emerging majors like data analytics, blending liberal arts perspectives with technical expertise.

Day-to-day duties include delivering core data analytics courses, advising students, collaborating on interdisciplinary projects, and contributing to curriculum growth. Faculty often balance teaching approximately five courses annually with research and departmental service.

Although the role is hosted by Denison University, affiliation with the American Economic Association provides unique networking channels, access to specialized job listings, and a platform fostering connections with economists focusing on data-driven analytics.

The association’s emphasis on economic data analytics encourages candidates to produce research blending quantitative economics with data science methodologies, aiming to impact both academic theory and practical economic policy.

Salaries typically range between $65,000 and $90,000 annually, reflecting tenure track norms at liberal arts colleges in Ohio. Variations depend on prior experience, specialization in data analytics, and additional institutional benefits.

Granville’s academic community is growing its data analytics offerings, leading to moderate competition for faculty positions. Candidates with interdisciplinary expertise and a focus on emerging fields like sports analytics may find enhanced opportunities.

While a Ph.D. is standard, certifications in applied data analytics tools and experience in interdisciplinary teaching can strengthen applications. Familiarity with liberal arts education pedagogy is also advantageous for local institutions.

Balancing technical rigor with accessibility for students from diverse academic backgrounds requires adaptable teaching methods. Integrating data analytics into a broad-based curriculum while fostering critical thinking across disciplines is essential.

The program’s cross-departmental structure encourages collaborative projects spanning economics, computer science, and sports analytics, expanding research horizons and fostering innovative methodologies aligned with applied data science trends.