Experience must include 1 year of experience with each of the following: Analyzing product and marketing performance to generate actionable insights, improve efficiencies, and guide strategic business decisions; building and maintaining automated dashboards and analytical tools that support real-time monitoring and cross-functional decision making; collaborating with marketing, product, and engineering teams on product design, sizing, and prioritization to optimize resource allocation and decision making; conducting A/B and multivariate experiments to evaluate product and marketing effectiveness and inform strategy; conducting customer experience analysis to improve acquisition, engagement, and retention; developing forecasting models to guide budget planning and financial outlook; leveraging methodologies and analytical techniques including cohort analysis, data visualization, funnel analysis, market research, product KPI development, risk mitigation, segmentation, and user behavior analysis; and working with Databricks, Excel, Power BI, Python, R, Snowflake, SQL, and Tableau. Position requires a Masterās degree in Marketing, Business Analytics, Statistics, or a related quantitative field, and 2 years of experience with applying predictive analytics and modeling techniques in the financial services industry to optimize marketing performance and enhance customer experience.