Data Architecture for Business Analytics - Adjunct Instructor

Park University; Parkville (MD); On-site; USD 3,000 - 4,200; Part time

Job summary

Park University seeks an adjunct faculty member for a face-to-face course in the Parkville, MD area. Eligible applicants must complete an online Canvas LMS orientation, along with any department-specific training, prior to scheduling.

Minimum qualifications include a Master’s Degree in a related field with extensive analytics coursework and relevant teaching experience. Park University is an Equal Opportunity Employer committed to inclusive hiring across all groups.

Qualifications

• Master's Degree in Business Analytics, Data Science, Statistics, Operations Management, Computer Science, or related fields with 18 credits in quantitative or analytics.
• Proficiency in Python or R, Tableau, and statistical software preferred.
• Ph.D. and a minimum of 5 years teaching or post-secondary teaching experience preferred.

Responsibilities

• Course will teach students to identify data sources and datasets relevant to business problems, gather and manipulate data.
• Students will learn to build and use relational and non-relational databases and work with APIs and other data formats.
• Focus on data manipulation methods such as querying, merging, filtering, and aggregation for analytics solutions.

Skills

Python

R

Tableau

Statistics

Data Analytics

Education

Master's Degree in Business Analytics/Data Science/Statistics/Operations Management/CS or related

Tools

APIs

Relational databases

Non-relational databases

Job description

Park University seeks an adjunct faculty member for a face-to-face course in the Parkville, MD area. Eligible applicants must complete an online Canvas LMS orientation, along with any department-specific training, prior to scheduling.

Minimum qualifications include a Master’s Degree in a related field with extensive analytics coursework and relevant teaching experience. Park University is an Equal Opportunity Employer committed to inclusive hiring across all groups.