Sr. Manager, Digital and Marketing Analytics

Attain Finance is hiring a Senior Manager, Digital and Marketing Analytics to lead measurement, reporting, and optimization of customer acquisition across its lending brands. The role develops analytics and attribution models, identifies opportunities across the customer journey, and provides data-driven recommendations in partnership with cross-functional teams.

Responsibilities:

• 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
• 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
• Build and enhance advanced measurement methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and causal measurement frameworks
• Measure performance across channels, campaigns, and customer segments
• Own end-to-end customer acquisition funnel measurement and analysis
• Identify key drop-off points, friction areas, and conversion opportunities throughout the customer journey
• Partner with marketing, product, and operations teams to prioritize optimization initiatives and quantify expected business impact
• Design, measure, and evaluate A/B tests, holdout tests, incrementality studies, and other experimentation frameworks
• Develop statistically sound approaches for measuring marketing and customer experience improvements
• Translate analytical findings into actionable recommendations that influence strategic decisions and business outcomes
• Develop and maintain scalable dashboards, scorecards, and self-service analytics tools that empower stakeholders across the organization
• Deliver executive-ready presentations and insights that clearly communicate performance, opportunities, and recommendations
• Continuously evolve reporting capabilities to improve decision-making and operational efficiency
• Collaborate with Data Engineering to ensure reliable, scalable data pipelines and access to high-quality data
• Promote analytics best practices and data-driven decision making across the business

Requirements:

• Bachelor's degree in quantitative field
• 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
• Master's degree 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