Associate Director for Analytics

Penn State University

Campus/Location:
University Park Campus
Campus City:
University Park, PA
Date Announced:
08/27/2019
Date Closing:
open until filled
Job Number:
90330
Level/Salary Band:
03 – K – Exempt
Work Unit:
Division of Development and Alumni Relations
Department:
Research and Analytics
Full/Part Time:
Full–Time

Description

The Office of Research and Analytics within University Development is looking to fill the position of Associate Director for Analytics. The successful candidate will be creative and curious with strong specialized skills and strong communication skills working with programmers as well as non-specialized end-users. The need to work independently but within a strong team environment is necessary. The successful candidate will work in conjunction with the Executive Director of Research and Analytics and the Associate Director for Research to lead the analytics team. Key duties include developing predictive scoring models that will allow enhanced unit-specific identification and segmentation of the alumni, donor and prospect base by leveraging internal and external data; produce analysis reports using data-visualization techniques; participate in the development of new analytics solutions including data mining, forecasting, simulation, segmentation, market research strategies and process improvement. This position will be expected to devise and produce analytical and ad hoc reports to support the Division of Development and Alumni Relations’ senior leadership in data driven decision-making. The successful candidate will partner with Senior Research Analysts, division IT staff, and end-users in the division to understand business practices and information needs and develop data driven products and services to support those needs. Typically requires a Bachelor's degree or higher plus four years of related experience, or an equivalent combination of education and experience. Experience with machine learning, using complex data sets and artificial intelligence methods to produce and communicate the underlying data to a wide audience of consumers would be desired. Successful candidates must possess strong oral and written communication skills as well as an aptitude for critical thinking and problem-solving. Candidates must be proficient in statistical analytics, a proficiency in the use of large data sets, relational databases, the ability to manage multiple tasks and priorities and the ability to work well with diverse colleagues. Fluency and proven ability to learn various software related to data mapping, data mining, and statistical software tools (including but not limited to SQL, R, Python, GitLab, SAS, Microsoft Office suite, among others) is critical in this position.

These salary bands have been established to provide salary guidelines for staff positions.

Salary Band Minimum Midpoint Maximum
A $16,584 $24,456 $32,328
B $18,240 $26,904 $35,556
C $19,728 $29,592 $39,456
D $21,708 $32,568 $43,416
E $24,312 $36,468 $48,612
F $27,228 $40,848 $54,456
G $30,012 $45,744 $61,500
H $34,188 $52,140 $70,080
I $38,988 $59,424 $79,908
J $43,716 $67,740 $91,812
K $50,712 $78,600 $106,488
L $58,836 $91,176 $123,528
M $68,232 $105,756 $143,292
N $80,508 $124,788 $169,068
O $93,492 $147,252 $201,024
P $110,340 $173,760 $237,192
Q $126,396 $199,056 $271,728
R $151,668 $238,872 $326,088