Responsibilities

• Lead the design, execution, and analysis of conversion rate optimization (CRO) and marketing experimentation programs.
• Develop statistically sound testing frameworks, methodologies, and best practices across marketing channels and customer touchpoints.
• Design experiments including A/B tests, multivariate tests, geo-based experiments, holdout tests, lift studies, and incrementality tests.
• Define hypotheses, success metrics, sample size requirements, statistical significance thresholds, and measurement approaches.
• Ensure testing programs meet rigorous standards for validity, reliability, and business applicability.
• Conduct advanced statistical analyses to evaluate test performance and marketing effectiveness.
• Lead large-scale measurement initiatives including Marketing Mix Modeling (MMM), incrementality analysis, causal inference studies, and attribution validation.
• Apply statistical methodologies including power analysis, confidence interval estimation, significance testing, and experimental design techniques.
• Identify drivers of marketing performance and provide data-driven recommendations for investment optimization.
• Partner with marketing leadership to quantify the impact of strategic initiatives and media investments.

Requirements

• Master's degree in Statistics, Mathematics, Data Science, Operations Research, or another highly quantitative field.
• 7+ years of experience in marketing analytics, measurement, experimentation, statistics, or related analytical disciplines.
• Advanced proficiency in SQL, including database management, complex query development, and data validation.
• Experience designing and evaluating controlled experiments and large-scale marketing tests.
• Strong understanding of statistical inference, experimental design, causal measurement methodologies, and hypothesis testing.
• Experience presenting analytical findings to senior leadership and executive stakeholders.
• Exceptional communication, storytelling, and stakeholder management skills.
• Ability to independently lead projects from experimental design through executive readout.

Preferred

• Experience in mortgage lending, financial services, or performance marketing environments.
• Experience with Marketing Mix Modeling (MMM) platforms such as Robyn , Meridian , or similar solutions.
• Proficiency in Python , R , or other statistical programming languages.
• Experience with CRO platforms such as Optimizely or similar experimentation tools.
• Experience with Power BI, Tableau, Snowflake, Azure, Google Cloud Platform, Databricks, and other modern analytics platforms.
• Familiarity with media measurement, attribution methodologies, and incrementality testing frameworks.
• Experience leading measurement programs in high-volume direct-to-consumer marketing environments.

Benefits

• ·          401(k)
• ·          Dental insurance
• ·          Disability insurance
• ·          Employee discounts
• ·          Health insurance
• ·          Life insurance
• ·          Paid time off
• ·          12 paid holidays per year
• ·          Paid training
• ·          Referral program