Proficiency with statistical languages including R and Python.
Proficiency with data visualization & building interactive reports using Tableau.
PL/SQL, Perl and Shell scripting is an advantage.
Experience applying analytic skills to a real-world project, from the early stages of solution ideation, algorithm design, and prototyping to tasks like input data cleanup, model building, and process rollout and implementation.
Ability to explain complex problems, solutions, or the essence of a quantitative model to a layperson in a simple, understandable way.
Ability to track and report on business KPIs.