Lead Business Analyst

We're looking for a Lead Business Analyst to be a strategic analytics partner to the entire company. You'll work across product, growth, marketing, finance, and leadership to answer the ambiguous, high-stakes questions that shape our direction — where to invest, what's really driving the business, and how our consumer and enterprise businesses fit together. You'll bring a point of view (not just an answer), you'll be a trusted voice in board and business-review prep, and you'll make sure the whole company runs on numbers it can trust. This is a high-leverage role for someone who loves turning data into decisions and wants their fingerprints on the strategy of a fast-growing company.

Responsibilities

Partner with leaders across every function to frame ambiguous business questions and bring rigorous, opinionated analysis to the decisions that matter most; Act as the bridge between Finance and Marketing: connecting budget pacing, spend efficiency, and channel-level outputs to revenue forecasts and broader planning conversations; Own the high-leverage company questions like unit economics, growth drivers, the B2C↔B2B picture, and where to place the next bet — and turn them into recommendations leadership acts on; Drive board- and business-review-level analysis, synthesizing what's happening across the business into a clear, trustworthy story; Own our core metric definitions as a single source of truth: define them, govern how they change, and drive org-wide adoption so the company stops debating which number is right; Partner with Finance on the metrics behind planning — LTV, CAC, payback, and NRR — including more sophisticated, segmented LTV across our consumer and enterprise businesses; Champion self-serve and modern, AI-assisted analytics so the organization can answer routine questions on its own.

Requirements

4+ years in analytics, strategy, or business/finance analytics, with a track record of insight that changed material business decisions; Advanced SQL, strong experience with modern analytics tools, and familiarity with dbt or semantic layers; Hands-on experience applying AI/LLM tools to analytical tasks such as data synthesis, hypothesis generation, and productivity acceleration; Strong business and financial acumen — you're comfortable owning the logic behind LTV, CAC, payback, NRR, and revenue recognition, and connecting it to strategy; The ability to frame ambiguous questions, form a point of view, and communicate it persuasively to both technical and non-technical audiences, including leadership; A bias for turning insight into decisions, and the ownership to follow through on impact.

Nice to have

Experience partnering with a Finance team on unit-economics methodology (LTV/CAC/NRR); Both consumer (B2C) and enterprise (B2B) experience; Background in consumer subscription, edtech, or language learning.

Benefits

Join a fantastic, tight-knit team at the right time; Do your life's work with people you'll love working with; Global in nature with live in over 40 countries, dedicated offices, and travel opportunities; Impact people's lives in a major way; Opportunity to talk to users in each of these regions on a regular basis as well as travel.