Marketing Data Analyst

The Marketing Analytics Professor is responsible for delivering high-quality instruction and conducting research in the field of marketing analytics. This role involves teaching undergraduate and/or graduate courses, developing curriculum, engaging in scholarly activities, and providing academic guidance to students. The Marketing Analytics Professor plays a crucial role in preparing students to understand and apply data-driven marketing strategies and analytical techniques in todays business environment.

Responsibilities:

1. Teaching: Deliver engaging and effective instruction in marketing analytics courses at the undergraduate and/or graduate level. Develop and update course materials, including syllabi, lectures, assignments, and assessments. Employ a variety of teaching methodologies, such as lectures, case studies, group projects, and experiential learning, to facilitate student understanding and application of marketing analytics concepts.
2. Curriculum Development: Stay abreast of the latest advancements in marketing analytics and contribute to the development and enhancement of the marketing analytics curriculum. Identify emerging trends, tools, and techniques in the field and integrate them into course content. Collaborate with colleagues to ensure curriculum alignment and foster interdisciplinary approaches to marketing analytics education.
3. Research: Conduct original research in marketing analytics, aiming for publication in reputable academic journals and conferences. Develop research projects, secure funding when applicable, and collaborate with colleagues and students on research initiatives. Stay current with industry practices and contribute to the advancement of marketing analytics knowledge through research contributions.
4. Student Mentorship: Provide academic guidance and mentorship to undergraduate and graduate students pursuing degrees or concentrations in marketing analytics. Advise students on course selection, internships, research opportunities, and career paths in marketing analytics. Foster a supportive learning environment and engage with students outside of the classroom through office hours, mentoring programs, and professional development activities.
5. Industry Engagement: Establish and maintain connections with industry professionals and organizations involved in marketing analytics. Seek opportunities to collaborate with industry partners, such as guest lectures, consulting projects, or joint research initiatives. Stay updated on industry practices, emerging technologies, and analytics tools relevant to marketing analytics.
6. Committee Participation: Contribute to departmental and university committees, initiatives, and activities related to marketing analytics education, curriculum development, and program evaluation. Collaborate with colleagues on program assessment and accreditation processes. Participate in faculty meetings, academic advising, and departmental events.
7. Professional Development: Engage in continuous professional development activities to stay current with advancements in marketing analytics theory and practice. Attend conferences, workshops, and seminars relevant to marketing analytics. Pursue opportunities for additional certifications or training to enhance teaching and research capabilities.

Qualifications:

• Ph.D. in Marketing, Business Analytics, Data Science, or a related field with a focus on marketing analytics.
• Demonstrated expertise in marketing analytics, data-driven marketing strategies, and analytical techniques.
• Experience teaching marketing analytics or related courses at the undergraduate and/or graduate level.
• Strong research track record in marketing analytics, evidenced by publications in reputable journals and conferences.
• Proficiency in statistical software (e.g., R, Python), data visualization tools (e.g., Tableau, Power BI), and marketing analytics platforms.
• Knowledge of advanced analytics methods, such as predictive modeling, customer segmentation, marketing mix modeling, and data mining.
• Strong analytical and problem-solving skills, with the ability to apply marketing analytics concepts to real-world business challenges.
• Excellent communication and presentation skills, with the ability to effectively convey complex concepts to students with varying levels of expertise.
• Commitment to student success and mentorship, with the ability to foster a supportive and inclusive learning environment.
• Collaborative mindset, with the ability to work effectively with colleagues, industry professionals, and diverse student populations.
• Active engagement in scholarly activities, such as attending conferences, publishing research papers, and participating in academic communities.