Retention Research Analyst (Indianapolis, Indiana)

Founded in 2012, Aviso Retention is a student retention solution that helps colleges and universities solve one of the biggest challenges in higher education: keeping students engaged, optimizing the chances of student success, and avoiding attrition. Aviso does this in a holistic way, by combining proven coaching methodologies with supportive software tools and predictive analytics.

Position Overview

The Retention Research Analyst will be responsible for performing custom research, building institutional-specific predictive models, and creating automated reporting processes to support client information requirements. This position will also be expected to assist with the development, growth and management of the analytics team at Aviso Retention.


  • Establishing project data requirements based upon client’s recruitment or retention objectives.
  • Converting, cleansing, manipulating, and managing large, historic data files.
  • Developing predictive models and designing scoring databases and processes.
  • Performing custom and standard analysis and delivering results written and verbally.
  • Proofreading and editing reports written by peer research analysts.
  • Constantly enhancing the predictive modeling service offering through investigating new data sources, statistical techniques and delivery methods.
  • Designing customized reports/dashboards and managing their delivery.


  • Applicants should possess strong qualitative and quantitative research skills with an ability to execute and deliver high quality, on-time research for clients.
  • Applicants should also be able to effectively communicate (written and verbal) technical/analytical information to a variety of interested parties at all levels.

Additional Requirements

  • Bachelor’s or Masters degree required in a highly technical/mathematical discipline (ie; statistics, mathematics, quantitative analysis, computer science, etc.).
  • A minimum 3 year’s experience developing statistical models and data analysis with extensive knowledge of statistical theory (regression and multivariate statistics) and Data Mining techniques, preferably in a marketing environment. Prior experience in a higher education setting is preferred.
  • Strong technical knowledge and hands-on experience with regression methods, decision trees, neural networks and rules-based decision modeling. The ideal candidate will be required to personally use data mining, predictive modeling and various other descriptive and inferential statistical techniques to solve business problems.
  • Demonstrated expertise in statistical programming. Advanced SQL programming (e.g. MySQL, MSSQL, PL/SQL) is a plus. PC skills including Word, Excel, PowerPoint and Access is required.
  • A business-oriented mindset with a comfort working in a highly entrepreneurial environment and an interest in growing a service line focused on retention analytics.