Adjunct Instructor - CIS622 Data Architecture for Business Analytics

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

Appointments are made on a term-by-term basis. Adjunct faculty are required to successfully complete an online Canvas LMS orientation course before being scheduled, as well as other training if required by the department. This is a face to face course. Local applicants only.Click on Park University Locations for more information on our campus centers.Click on Park University’s Catalog for more information on programs and courses.To ensure timely submission of your credentials, qualified applicants should apply following the specific instructions noted in each job posting. For all positions, a Masters Degree in the relevant field is required, along with related work and/or academic experience. For most postings, a Ph.D. or other terminal degree is preferred.Park University is an Equal Opportunity Employer encouraging applications from women and minorities. The university will recruit and employ qualified personnel and will provide equal opportunities during employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability or status as a qualified protected veteran. Click here to view Park University’s EEOC and related policies.Please Note: Park University participates in E-Verify for all positions at all campus center locations nationwide.Minimum QualificationsMaster’s Degree in Business Analytics, Data Science, Statistics, Operations Management, Computer Science, or related fields with 18 credits in quantitative or classes in Analytics. Proficiency in the following areas of Business Analytics, Data Analytics, Predictive Analytics, and related fields. Knowledge of Python or R, and Tableau, and statistical software preferred. Ph.D. and a minimal of 5 years teaching experience or post-secondary teaching experience is preferred. Resume must be submitted in ACBSP format.Course DescriptionThis course will teach students to identify data sources and datasets relevant to business problems, gather, and manipulate data. Students will learn how to build and use relational, and non-relational databases as well as how to work with standalone datasets, APIs and other formats of data. This course will also focus on the main data manipulation methods such as querying, merging, filtering, and aggregation using various tools and their relation to the analytical solutions to business problems.