We are seeking a Part-time Lecturer in Data Analytics to teach Database Design and SQL at the graduate level on Tuesday and Thursday afternoons. The successful candidate will deliver high-quality instruction that equips students with a thorough understanding of relational databases and their central role in modern software applications and data analytics workflows.

This position emphasizes both conceptual foundations and applied skills, preparing students to design relational database systems and use SQL effectively for data management and analysis.

Key Responsibilities

• Teach graduate-level courses in database design and SQL online and in-person. 
• Develop and deliver engaging lectures, hands-on labs, and applied assignments
• Guide students in understanding relational database concepts, including data modeling and normalization
• Teach SQL for data definition, manipulation, and analysis (e.g., joins, aggregations, subqueries)
• Design course materials that connect database concepts to real-world data analytics applications
• Assess student performance and provide timely, constructive feedback
• Support students in developing practical data skills relevant to industry needs
• Collaborate with program director to ensure alignment with program learning objectives

Required Qualifications

• Master?s degree in Data Analytics, Computer Science, Information Systems, or a related field (Ph.D. preferred)
• Demonstrated professional expertise in relational database design and SQL
• Experience teaching at the undergraduate or graduate level, or equivalent professional training experience
• Ability to translate technical concepts into clear, accessible instruction
• Strong communication and organizational skills

Preferred Qualifications

• Industry experience working with databases in applied settings (e.g., analytics, software development, data engineering)
• Experience with database management systems such as MySQL, PostgreSQL, SQL Server, or Oracle
• Familiarity with integrating databases into data analytics workflows or business intelligence tools
• Experience teaching diverse student populations
• Experience teaching in hybrid or online environments or willingness to learn and participate in training to facilitate this style of learning. 

Teaching Philosophy

The ideal candidate values applied, student-centered learning and emphasizes the connection between theory and practice. They are committed to helping students build both technical proficiency and analytical thinking skills, particularly in understanding how databases support data-driven decision-making.

All application materials must be submitted via Interfolio at https://apply.interfolio.com/183881.  Applicants should submit a cover letter, curriculum vitae, and a brief statement of teaching philosophy, and have two reference letters uploaded to Interfolio directly by recommenders. Evidence of teaching effectiveness (potential syllabus for the course, prior course evaluations, etc.), is encouraged. Questions about the position may be directed to Maura McDonald at maura.mcdonald@tufts.edu, Program Manager for Data Analytics. Review of applications will begin immediately and continue until the position is filled.

All offers of employment are contingent upon the completion of a background check.

Tufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research, and a commitment to active citizenship locally, regionally, and globally. 

Tufts University is an Equal Opportunity Employer. See the University?s Non-Discrimination statement and policy here https://oeo.tufts.edu/policies-procedures/non-discrimination/. If you are an applicant with a disability who is unable to use our online tools to search and apply for jobs, please contact us by calling the Office of Equal Opportunity (OEO) at 617-627-3298 or at oeo@tufts.edu. Applicants can learn more about requesting reasonable accommodations at https://oeo.tufts.edu/

About Tufts University

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