Full-Time Marketing Analytics Specialist

ABOUT HAPPY MONEY Happy Money is a leading consumer finance company dedicated to helping people achieve their goals through responsible lending. Through its fully-digital platform, Happy Money partners with credit unions, banks and asset managers to originate high-quality credit solutions, diversify their portfolios and expand their impact and reach nationwide. Backed by investors like TruStage Ventures, Happy Money enables financial institutions to grow as a force for good in their communities while helping people use money as a tool for their happiness. Together with their community-focused capital partner network, Happy Money has originated over $6 billion in loans representing more than 300,000 members who have taken greater control of their financial futures. Learn more at happymoney.com.

ABOUT THE ROLE We’re looking for our next Marketing Analytics Specialist, who will be responsible for evaluating the impact of demand generation, campaigns, measuring end-to-end marketing funnel performance, producing reports/dashboards to monitor critical metrics. This role will perform advanced analyses to optimize marketing performance for business operation, planning and budgeting purposes.

KEY RESPONSIBILITIES

• Leveraging multi-sourced data and marketing principles to create descriptive and predictive analyses, perform A/B testing, multivariate testing, and develop customer segmentation and data systems to optimize marketing programs and initiatives.
• Supporting cross-channel marketing efforts (e.g., Affiliates, Prescreen, Paid Social/Search), providing insights to channel leads and the broader organization to drive growth.
• Performing data-driven analyses and creating models to optimize direct marketing (DM) efforts, including name selection and relevant modeling techniques.
• Define, compute, track and continuously validate KPIs/metrics such as CAC, ROI and Marketing Efficiency metrics.
• Individual contributor who is capable of influencing across the organization, including with executives, through analysis, high quality documentation and compelling presentations.

ABOUT YOU

• Master’s degree in a STEM or related field preferred
• 1+ years experience performing high quality data and business analytics in the consumer lending space
• Working knowledge of Credit Risk principles; familiar with credit bureau data
• Experience building Machine Learning models, predictive modeling, and statistical techniques is a must
• Coding experience in Python, MySQL, RStudio, Tableau etc.
• Ability to thrive in a fast-paced, high-growth environment

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