Responsibilities

• Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels.
• Collaborate with marketing managers, channel owners, business leads and external partners to identify and strategize on new opportunities and initiatives.
• Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions.
• Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions.
• Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections.
• Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance.
• Manage the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance.
• Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities.
• Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth.
• Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.

Requirements

• Bachelor's degree in computer science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred.
• 8+ years of experience in data science/analytics role (Manager preferred over Analyst)
• Strong communication skills and comfort working directly with Product and Business leaders
• Direct mail experience. Ability to manage the campaign planning, forecasting, selection and execution process for the DM campaign followed by robust monitoring
• Strong programming skills in SQL, Python/R and proficiency in Tableau
• Experience in growth, lifecycle, or funnel optimization problems
• Experience building data pipelines with Airflow, preferably in Snowflake.
• Demonstrated experience with experimentation design, hypothesis testing, and statistical analysis
• Knowledge of statistical modeling or machine learning is a plus.
• Ability to operate effectively in ambiguous, fast-moving product environments