Primarily responsible for analyzing available datasets, and building visualizations that surface actionable insights (usually via dashboards) for data-informed decision making purposes, supporting the mission of the Analytics Program and the University at large.
This position requires strong problem solving skills and a drive to continue learning as technology and desired outcomes change. The position is expected to align business needs with data analysis approaches and solutions, and show a deep understanding of, and desire to contribute to, standards and best practices that benefit the overall analytics mission. The position will focus on delivery and extraction of useful & actionable insights from large datasets. Management is also open to the possibility of this position being remote.
Mid-career with Masters and 1-2 yrs experience; Bachelors and 2-4 yrs experience or equivalent education and experience in an developer/integrations role required.
Ability to design and implement data visualizations that make information accessible and understandable to all stakeholders regardless of statistical experience
Ability to apply statistical concepts in order to analyze data efficiently and effectively
Experience analyzing big data and creating solutions that scale efficiently
Experience with applicable development/analysis languages. Examples: R, Python, SQL, SAS, SPSS, MATLAB, Scala
Experience working with Git for source control preferred.
Experience working with systems including but not limited to: Google Cloud Platform (GCP), MS Azure, ServiceNow, Splunk, and other infrastructure service data sources preferred.
Applicants have the option to provide the names, email addresses, and phone numbers of at least three (3) contacts to provide Letters of Recommendation, in the References section of the electronic application. These contacts will be solicited by the SpartanTalent system via email, and asked to provide a confidential Letter of Recommendation on behalf of the applicant. This will occur once an applicant has successfully submitted his/her application.
Applicants are required to upload the following documents with their electronic application:
Applicants are required to upload a list of references of at least three (3) professional references that includes:
Applications are not successfully submitted until an online confirmation number has been received at the end of the application process.