4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. Insurance, 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 of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. Insurance, Finance). The ideal candidate combines strong SQL and Python skills with hands-on experience using digital analytics and optimization platforms such as Adobe Analytics, Glassbox, and Optimizely to identify opportunities that improve member engagement, conversion, and overall business performance, while partnering closely with Product, Design, and Technology teams.