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DESCRIPTION

Customer Behavior Analytics (CBA) Finance seeks a Finance Manager to support CBA tools that inform financial decisions across our marketing measurement portfolio.
CBA empowers teams across Amazon to better reach and serve our customers while maximizing long-term value through high-quality analytical products, predictive models and intuitive measurement tools. CBA is a cross functional team working on the cutting edge of science and technology to build measurement tools, data, and scientific models used to optimize Amazon's marketing spend with investments spanning types (fixed/variable, on/offsite, owned/paid), granularities (Social, TV, etc.), and businesses (Stores, Prime Video, Grocery, etc.). CBA also provides centralized targeting and customer segmentation solutions that enable automated systems and businesses to surface relevant content to customers and we also enable internal teams to experiment, measure, understand, and value the impact of changes made across Amazon customer experiences.
The Finance Manager will partner with the CBA business and tech teams, providing financial guidance and controllership for the use and development of CBA tools across Amazon, with particular focus on variable marketing attribution models and marketing Growth-adjusted Composite Contribution Profit (GCCP). They will have a passion for learning about complex econometric models and communicating to a non-technical audience in a crisp manner. The successful candidate will possess potent communication and influencing skills, and have a passion for using data to drive business decisions. We are looking for a self-starter that attacks complex business problems with curiosity and dives deep to identify root causes. This individual thrives by providing data-driven decision support and business intelligence that is timely, accurate, and actionable to senior leaders across various Amazon business. The ideal candidate will have a growth mindset, be comfortable with healthy respectful debate, and be skilled at earning trust across both finance and business teams.


Key job responsibilities
You see your primary role as being a conduit between data science teams and the consumers of the data and decisions produced CBA models. You will also contribute to wider CBA Finance support, and provide peak support of CBA's other product offerings (e.g., Weblab).
Your key responsibilities will include:
• Provide finance support to WW variable marketing teams on the incremental value of marketing, developing quantitative and qualitive insights into customer behavior and impact to financial metrics
• Collaborate with the Customer Forecasting and Valuation (CFV) finance partner to drive complex tactical change across the marketing GCCP product portfolio, partnering with cross-functional teams to define business requirements and change management strategies
• Evaluate the impact on financial results when changes are made to CBA models/inputs, or when models are launched in a new marketplace; ensure consuming teams have the necessary information to bridge results
• Provide financial controllership and guidance of CBA models/metrics across various use cases, acting as a steward to ensure appropriate application in decision making
• Ensure proper controllership mechanisms are in place to govern both inputs and outputs of CBA models/metrics. Identify opportunities to drive operational excellence across both finance and CBA teams
• Distill complex econometric models in a simplistic manner that customers can relate to and action with
• Independently dive deep to identify root causes, developing financial models to evaluate risk to decision making and collaborating with stakeholders on resolution
• Facilitate education/training across WW teams on the application of CBA models/metrics, as well coaching new team members
• Provide support across broader CBA Finance workstreams, including CBA headcount management and reporting

A day in the life
• Collaborating with the Marketing Incrementality Measurement (MIM) and GCCP teams on quantifying the financial impact of changes to CBA models, effectively communicating impacts to decision making to WW stakeholders
• Diving deep to understand potential impacts to marketing investment strategies driven by observed changes in customer behavior and/or changes in econometric models
• Being part of engaging discussions around marketing measurement that aims to estimate long-term profitability from our marketing investments globally
• Influencing stakeholders to resolve conflicting views, and managing stakeholder expectations and escalations
• Partnering with CBA in ensuring our decisions are governed by and measured using the best representation of incremental LTFCF
• Diving deep into the numerous inputs used in CBA models to root cause issues/inconsistencies


About the team
The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our products answer who did what, where and when it was done, and how key metrics were impacted. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.
The CBA Finance team works as part of the CBA team. We quantify the impact of CBA insights to Amazon's financials, support and engage worldwide Finance leadership in utilizing CBA outputs, and much, much more.