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

• Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other voluntary coverages.
• 401k program, starting on the first of the month following 30 days of employment with a company match.