Responsibilities

• Lead Acquisition Performance Analytics
• Own acquisition performance reporting and insights across marketing channels.
• Analyze campaign, funnel, and customer performance to identify growth opportunities.
• Recommend actions to improve conversion, efficiency, and ROI.
• Own Measurement, Tracking & Data Governance
• Maintain marketing measurement frameworks, KPIs, and tracking standards.
• Ensure accurate data collection, attribution, and reporting.
• Partner with Technology and Engineering teams to enhance measurement capabilities.
• Develop Attribution & Marketing Effectiveness Models
• Build and enhance advanced measurement methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and causal measurement frameworks.

Requirements

• Bachelor's degree in quantitative field. Master’s degree preferred.
• 7+ years of experience in marketing analytics, customer analytics, or performance measurement, preferably within financial services, fintech, consumer lending, or other customer acquisition-driven businesses.
• Advanced expertise with web analytics and marketing technology platforms such as Google Analytics, Adobe Analytics, ContentSquare, Google Tag Manager, A/B testing platforms (Optimizely, VWO, etc..) or similar technologies, including implementation and governance.
• Strong understanding of acquisition marketing channels, including paid search, SEO, affiliates, direct mail, email, display, social media, and other performance marketing channels.
• Expert-level SQL skills with experience querying, transforming, and analyzing large datasets and with data visualization and business intelligence tools (Sigma, Tableau, Looker, Power BI, etc..).
• Strong analytical skills, including forecasting, segmentation, predictive modeling, and statistical analysis.
• Demonstrated experience developing or leveraging advanced attribution methodologies, including MMM, MTA, incrementality testing, or causal measurement techniques.
• Demonstrated experience designing, implementing, and evaluating A/B tests and experimentation programs.
• Excellent communication and storytelling skills, with the ability to translate technical findings into clear business recommendations for executives and non-technical audiences.
• Comfortable working in a fast-paced, matrixed environment with multiple stakeholders across business functions and geographies.

Preferred

• Working knowledge of Python, R, or comparable analytics/programming languages.
• Experience applying machine learning or AI-driven approaches to forecasting, propensity modeling, customer segmentation, or marketing optimization is considered an asset.
• Knowledge of data warehouse architecture, data modeling, and analytics engineering best practices.

Benefits

• All full-time salaried employees are eligible for the following benefits, starting on day one: Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other voluntary coverages. You will also be eligible to participate in our 401k program, starting on the first of the month following 30 days of employment with a company match.