• Looker Look ML data modeling and development for self-service analytics.• Transaction Application analytics. Develop and continuously monitor the customer payment journey and friction in the flow of payments. Define completely novel metrics for success. Create and analyze dashboards for key operational metrics. Seek out new and improved data for better exploratory analysis.• A|B and Multivariate Testing. Develop hypothesis testing plans around optimizing payment success while minimizing chargebacks and fraud. Adjust rules in payment risk engines and build experiments to validate actions. Build dashboards using methodologically and technically accurate results for business owners to quickly understand test variances and confidence level thresholds. Translate results and issue recommendations to product owners and executive team. • Translate all analyses into meaningful narratives for executive teams and stakeholders to easily understand.• Ad hoc data analyses. Perform root-cause analysis to extract meaningful insights and identify opportunities for improvement.

• A|B and Multivariate Testing. Help business and product owners define success metrics and counter-metrics for experiments. Build real time results dashboards and translate results to make recommendations.• Product, Platform & Application analytics. Core and peripheral funnel and user journey analysis. • Build novel predictive models using complex SQL to better predict customer conversion, LTV and other behavior.• Create and manage dashboards and reports that provide KPI visibility across marketing, sales and operations performance.• Perform scheduled and ad hoc data analyses to identify and explain business results and trends.• Analysis of LTV, Retention/Churn, AOV, CAC via cohorts, customer segments, channels, etc.• Leverage data to surface valuable insights and solve complex business problems.