Build and own Ren's revenue growth model, including our 3-year forecast, translating business assumptions into a living, defensible financial and operational plan that has the right level of ambition to challenge us to break the mold
Analyze multi-source datasets (customer, transactional, behavioral) to uncover actionable insights on giving behavior across our diverse and multi-segmented customer base
Design and implement experiment frameworks (A/B testing) across the customer lifecycle so we can make faster, more confident decisions across acquisition, activation, and retention
Conduct deep-dive analyses on growth trends: understanding what's driving changes in our funnel, cohort behavior, AUM growth, and advisor engagement
Go beyond the data: bring the right business context to the analytical work and turn the insights into real “so whats” that accelerate our understanding of the business, the market, and our customers
Leverage AI for data and analytics to identify adoption trends, friction points, and engagement patterns
Synthesize insights into clear recommendations that influence executive decision-making
Communicate complex findings clearly to both technical and non-technical audiences
Partner closely with marketing, sales, partner success, product, finance, and more to ensure data is anchored in the on-the-ground reality and structured to shape strategy – with a direct line to the Growth organization leadership team
Requirements
Bachelor’s degree
2-4 years of experience, ideally from a top-tier consulting firm, investment bank, or a high-growth startup's strategy, business operations or analytics function
Pre-MBA or equivalent: you're hungry, rigorous, and don't need a lot of structure to do great work
Strong expertise in financial modeling, forecasting, and growth analytics: You can build a clean, well-structured model from scratch
Advanced proficiency in Excel/Google Sheets; experience with SQL, Python, or BI tools preferred
Ability to translate complex data into compelling story to a non-technical audience, both verbally and in writing
Data-centric intellectual honesty: low ego, high standards, deep curiosity that drive you to seek truths and appropriately evolve your point of view and inform that of others
A natural builder: you love taking ideas from scratch and making them a reality, and you never stop learning