Lead Business Analyst

About us

Our mission is to reinvent the way people learn, starting with language.

Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.

Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

About this role

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.

What you'll be doing

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.

What we're looking for

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.