Ford

Compensation

Full Description

Strategic Planning & Input: Support product teams during business planning by providing performance data and forecasting. Ensure team-level goals are aligned with broader Integrated Services KPIs Accountability & Operating Rhythm: Manage the data collection and reporting lifecycle for Monthly Business Reviews (MBRs) and Product Days. Ensure data is accurate, timely, and formatted to highlight key performance drivers. Standardize reporting templates and definitions across different product lines to ensure consistency in how success is measured Post-Launch Performance Analysis & Insights: Conduct deep-dive analyses on newly launched features. Partner with PMs to interpret user behavior and engagement metrics, identifying specific areas for iterative improvement Operational Excellence & Tooling: Act as the primary administrator for the product analytics tech stack (e.g., Amplitude). Lead training sessions for PMs where needed to ensure self-service data proficiency and high data-quality standards Bachelor's degree in a quantitative field (e.g., Business Analytics, Statistics, Economics, Computer Science) or equivalent practical experience. 3-5 years of experience in Product Operations, Product Analytics, or Business Intelligence within a digital product environment, with a proven track record of measuring post-launch success. 1+ year of experience in building compelling narrative using product data. separating signal from noise in complex datasets and building compelling narratives for Product and Cross-functional leadership 2+ years of deep experience with product analytics tooling (e.g., Amplitude) and data visualization platforms (e.g., Tableau, Power BI, Looker). Strong stakeholder management skills to influence cross-functional teams and drive data-driven decision-making. Strong analytical, problem-solving, and communication skills, with the ability to influence and collaborate effectively with stakeholders at all levels. MBA or a Master's in a quantitative field (e.g., Data Science, Statistics, or Business Analytics). Experience implementing and scaling new operational processes across multi-disciplinary teams. Ability to write and execute SQL queries independently to validate data and build custom reports when dashboard tools aren't enough. Experience with subscription-based business models, specifically analyzing churn, retention, and Customer Lifetime Value.