Provide decision support for business areas across the association.
Responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations.
Gather, manipulate and synthesize data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance).
Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

Mid-Level Decision Science Analyst

Key skills