JOE Listings (Job Openings for Economists)
August 1, 2025 - January 31, 2026
Berry College
Position Title/Short Description
Full Text of JOE Listing:
Job Description
The Department of Economics and Data Analytics at Berry College invites applications for a tenure-track faculty position in Data Analytics in the Campbell School of Business, with a start date of August 2026. We seek a colleague with a vision for preparing graduates who are well-equipped for careers in data-driven decision making, predictive analytics, and business intelligence. Successful candidates will demonstrate the ability to build on the initial successes of the Data Analytics program, engage students in practical business applications, and collaborate with on-campus colleagues in related areas.
Successful candidates will have expertise in data analytics, data science, or similar fields. Our Data Analytics program draws on courses from business, economics, and computer science, and thrives on the application of research and teaching to firsthand experiences and professional preparation for students. The ideal candidate will seek to engage students in hands-on projects with industry or nonprofit partners, analyzing real-world data to solve current challenges, working across disciplines.
We seek applicants who are familiar with a spectrum of analytical tools and possess expertise in a few, such as PowerBI, R, Python, Tableau, SQL, Stata, machine learning, and the integration of artificial intelligence. We are open to a wide range of such tools, recognizing the need to effectively teach and mentor students to be proficient in the tools and techniques most relevant to a rapidly evolving analytics landscape. The successful applicant should be committed to excellence in teaching, service, publishable scholarship, and mentoring students in a residential college environment.
Requirements
Applicants should have completed a Ph.D. or other terminal degree in business analytics, data analytics, data science, economics, information systems, or a related field by the start date.
About Berry College
Berry is a selective independent college of 2,200 students located adjacent to Rome, GA, midway between Atlanta, GA, and Chattanooga, TN. Berry’s educational approach deliberately unites challenging academic programs with practical work experience in a residential campus community that encourages faith and emphasizes caring for the needs of others above self. Our mission and values are grounded in the ethic that our founder instilled more than a century ago:
We educate the head, heart, and hands – to inspire leaders of integrity who cultivate thriving communities. Combining academic exploration with meaningful work responsibilities in a residential setting, our approach emphasizes firsthand experiences and mentoring. We invest in the personal growth and professional preparation of talented students from varied backgrounds, with an enduring commitment to help those hindered by financial need. Guided by Christian principles, we value the dignity of individuals, the search for truth tempered with grace, and the well-being of our neighbors.
Nationally recognized for quality of learning and quality of life, Berry offers first-rate undergraduate degree programs in the sciences, humanities, arts and human sciences, as well as undergraduate and master's level opportunities in business, physician associate studies, and teacher education. The College’s stunning 27,000-acre campus affords opportunities that cannot be duplicated elsewhere. Berry’s ongoing commitment is to provide exceptional educational experiences to talented students from a wide range of social, racial, and economic backgrounds.
College Commitments
Berry College is committed to recruiting and supporting a diverse faculty and staff. An Equal Opportunity Institution, Berry complies with all applicable laws and provisions prohibiting discrimination in its educational and employment policies. Berry respects the essential dignity of all individuals and accordingly hires and promotes employees without regard to matters of personal identity such as race, ethnicity, religion, gender, sexual orientation, and political affiliation. Berry College is committed to ensuring facilities, programs, services, and activities are accessible to everyone, including those seeking employment at Berry College. Inquiries about interview or workplace accommodations are welcomed and can be directed to employment@ berry.edu or (706) 233-4062.
Application Instructions
Applicants should submit a letter of application describing the candidate’s interest in this position and commitment to the Berry mission and values (linked above); a curriculum vitae; a teaching statement that should articulate the candidate’s teaching approach, experience, and goals; complete teaching evaluations (as available); a research sample; unofficial undergraduate and graduate transcripts; and names and contact information for three references.
Review of applications will begin on September 30, 2025, and will continue until the position is filled. Specific questions about the position may be sent directly to the chair of the search committee, Dr. Jamie Sharpe, at jsharpe@ berry.edu .
Application Requirements:
External Application URL and Instructions BelowApplication Instructions:
Freqently Asked Questions
Mount Berry, GA, being a smaller college town near Rome, offers a niche academic job market. Competition for data analytics professorships here is moderate, with a focus on candidates who blend strong research credentials and practical teaching skills in data science tools relevant to business and economics.
In Georgia’s academic circles, expertise in Python, R, SQL, and business intelligence platforms like PowerBI or Tableau is favored. Faculty members with demonstrated experience in applying machine learning and AI in business contexts tend to stand out for data analytics positions at institutions like Berry College.
Assistant Professors typically focus on establishing their research and teaching portfolio, while Associate Professors have demonstrated sustained scholarship, leadership in curriculum development, and mentorship. Progression often involves publishing impactful studies in data science and contributing to interdisciplinary collaborations.
Expect a mix of delivering lectures on predictive analytics, guiding hands-on projects with real-world datasets, collaborating on interdisciplinary research, and mentoring students to apply analytical tools like Python and Tableau in business intelligence scenarios.
This designation highlights an interdisciplinary emphasis, blending data science techniques with economic theory, preparing students for data-driven decision-making rather than solely theoretical economics, thereby expanding the practical application of analytics in business settings.
The American Economic Association values faculty who integrate experiential learning, such as industry collaborations and project-based teaching, to bridge academic theory with practical analytics skills, fostering graduates adept in both economic concepts and data science methodologies.
Absolutely, this role offers access to a vibrant network of economists and data scientists, enhancing collaborative research potential in emerging areas like AI integration in economic models and predictive analytics for business intelligence.
Salaries for data analytics faculty in Mount Berry generally range between $70,000 and $95,000 annually, depending on experience, academic credentials, and research output, aligning with regional standards for tenure-track positions in business and economics departments.
Graduate data analytics jobs often demand immediate proficiency in tools like SQL and Tableau for business applications, whereas academic roles emphasize both mastery of these tools and the ability to teach, research, and mentor within a broader theoretical and applied analytics framework.
One misconception is that the role is purely research-focused; however, at Berry, faculty balance rigorous scholarship with heavy engagement in teaching, mentoring, and integrating faith-based values, aiming to develop well-rounded leaders in data analytics.
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