Decision Science Analyst Mid


Brief Summary

Decision Science Analyst Mid Job Role: Applies a logical, systematic approach to problem solving using mathematical and statistical techniques and/or innovative/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to resolve business problems and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models, forecasting, and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. The analysts performing decision science work may or may not perform all of the tasks described above, but will generally perform most of the tasks as part of their work. As a result of the focus on data gathering, synthesis and analysis, the work efforts will be central to fact-based decision-making. Minimum Requirements: • Bachelor’s Degree in a quantitative discipline. • 4+ years experience in a decision support analytic function. • 4+ Quantitative analysis experience • Experience applying statistical/mathematical decisioning and/or testing methodologies to include multivariate regression. • Some experience in influencing business decisions. • Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making. • Experience presenting and communicating findings/recommendations to team members. • Advanced knowledge of data analysis tools. • Advanced knowledge in developing analysis queries and procedures in SQL and SAS. • Advanced knowledge of relevant industry data & methods and demonstrated ability to connect external insights to business problems. aa Preferred Requirements: • 6+ years experience in a decision support analytic function. • 6+ years quantitative analysis experience • 1+ years survey science experience • Some experience with statistical process control, six sigma, design of experiment, AB testing, and data mining • R and/or Python experience • Experience working with large "Big Data" datasets.