Provide decision support for business areas across the association.
Apply 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., sales, attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
Apply advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
Translate recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.
Incorporate visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Identify and gather the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Integrate/transforms disparate data sources and determine the appropriate data hygiene techniques to apply.

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.Marketing, Bank) 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. Marketing, Bank).
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, Python Tableau/BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

Decision Science Analyst I

Key skills