Lifecycle Analytics Manager

About EarnIn:

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to $15 billion in earnings.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world class talent onboard to help shape the next chapter of our growth journey.

Position Summary:

EarnIn is seeking a business-savvy and action-oriented strategic analyst to join its Marketing Analytics team as Manager of Customer Lifecycle analytics. In this role, you will be responsible for providing analytic insights and recommendations to enable the application of best practices in product and marketing customer lifecycle management. Your core responsibility will be to provide exceptional analytical insights that form the basis of a lifecycle framework and GTM strategy delivering the right message to the right customer at the right time. This will include collaborating with Data Scientists to develop globally scalable models to drive recommendations, offers, content, and channel decisions.

This rare opportunity for a stellar analytics professional involves creative freedom in generating insights, stakeholder management across multiple teams and direct influence on our roadmap. This highly visible role will make a significant contribution to the growth of our business.

What You'll Do:

• Manage customer segmentation, identify growth drivers and increase customer lifetime value across B2B and B2C
• Own customer funnel, lifecycle and LTV analysis used in guiding business decision-making and marketing investments
• Use cutting-edge analytics and solid business judgment to identify, prioritize, structure and solve complex business problems
• Perform deep-dive descriptive and predictive analysis on very large, complex, multi-dimensional datasets
• Present recommendations to senior-level executives and measure effectiveness of recommendations by monitoring their impact

What We're Looking For:

• You are a strategic thought leader with exceptional analytical and problem-solving capabilities
• You have a passion for problem-solving and the hunger to constantly ask “why?”
• You are creative, love ambiguity and thrive by driving financial results and improving customer experiences
• You have high energy, excellent communication skills and strong executive presence
• You have strong business judgment and the ability to take ambiguous business problems and solve them in a structured, hypothesis-driven, data-supported way
• At least 1-2 years of practical experience in one or more approaches such as Random Forest, Neural Networks, Support Vector Machines, Gradient Boosting, Bayesian Networks, Deep Learning
• Significant experience analyzing complex, multi-dimensional data sets using SQL, Hadoop/Hive, SAS, R and/or Python
• Deep knowledge of statistics (e.g., multivariate statistics, regression modeling, predictive modeling, controlled test design, time-series modeling)
• Hands-on experience in one or more of the following areas:  multi-channel marketing, customer segmentation, lifecycle /funnel analytics, LTV analysis, predictive modeling
• MBA or quantitative PhD/MS degree required
• Experience in end-to-end lifecycle analytics or strategy consulting is a strong plus

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience, but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.    EarnIn does not accept unsolicited resumes from individual recruiters or third p