• Strong predicitive modeling experience required


• Advanced skills in predictive analytics tools, SAS, SQL, Python or R required


• Data extraction and manipulation skills, EDA, transformations, and general linear models (GLM)


• ML, deep learning, NLP modeling


• Demonstrated ability to exchange ideas and convey complex information clearly and concisely


• Has a value driven perspective with regard to understanding of work context and impact


• Competencies typically acquired through a Master`s degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) if no professional experience; or a Bachelor`s degree and 3+ years of relevant work experience

This data analyst will:

• Apply data science techniques


• Gain confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions


• Identify and test hypotheses, ensuring statistical significance, as part of building predictive models for business application


• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, and provide a clear view into data interpretion


• Gain experience in enabling the business to make clear trade offs between and among choices, with a reasonable view into likely outcomes


• Assist in customizing analytic solutions to specific client needs


• Be responsible for smaller components (low to moderate complexity) of complex projects


• Engage with the Data Science community


• Participate in cross functional working groups