disciplines (e.g. business, marketing, engineering). Via the program students establish confidence in their abilities to master analytics at the intersection between technology and business application, and through experiential learning opportunities gaining a full appreciation for the true power of analytics. This degree prepares students for entry-¬‐ and mid-¬‐level roles in analytics (e.g. Analytics Managers, Data Analysts, Data Systems Developers, Data Scientists & Advanced Analysts), and data driven decision makers (e,g, CEOs and CIOs, Product- and Marketing Managers, Financial, IT and Supply Chain- Logistics Managers, and Functional Analysts) to aptly interpret and apply analytics. The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force. Qualifications: Masters in an aligned discipline and analytics-industry experience. Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred. Position Type Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Pay Range: The per credit rate is $1,529 To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/San-Jose-CA/Part-Time-Lecturer---Analytics--Silicon-Valley-_R124161 jeid-325b0db8e5960d4c82756f64ffc47b9b

disciplines (e.g. business, marketing, engineering). Via the program students establish confidence in their abilities to master analytics at the intersection between technology and business application, and through experiential learning opportunities gaining a full appreciation for the true power of analytics. This degree prepares students for entry-¬‐ and mid-¬‐level roles in analytics (e.g. Analytics Managers, Data Analysts, Data Systems Developers, Data Scientists & Advanced Analysts), and data driven decision makers (e,g, CEOs and CIOs, Product- and Marketing Managers, Financial, IT and Supply Chain- Logistics Managers, and Functional Analysts) to aptly interpret and apply analytics. The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force. Qualifications: Masters in an aligned discipline and analytics-industry experience. Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred. Position Type Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Pay Range: The per credit rate is $1,529 To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/San-Jose-CA/Part-Time-Lecturer---Analytics--Silicon-Valley-_R124161 jeid-325b0db8e5960d4c82756f64ffc47b9b