Data Analytics Manager

Data Analytics Manager｜Lead Analytics Across Multiple AI Products（¥13M–18M）A fast-growing global AI company is expanding its analytics leadership team and looking for a manager who can drive data strategy across Product, Sales, Marketing, and CS. You’ll work with advanced AI tech (LLMs, NLP, ML, autonomous agents) and lead analytics that directly impact ARR growth, churn reduction, product adoption, and GTM optimization.🚀 Join one of the fastest-growing global AI companies ⚙️ Work across multiple high-impact AI/SaaS products 🌍 Collaborate with Japan, US & UK teams 📈 Drive ARR growth, churn reduction, GTM optimization, and product strategy 🤖 Leverage advanced AI tech (LLM, NLP, ML, autonomous agents, knowledge graphs) 💼 Influence C-level decisions & build a truly data-driven cultureRole OverviewThis role leads analytics across Product, Sales, Marketing, and Corporate, enabling the entire organization to make better, faster decisions.You will:Own analytics strategy for multiple AI/SaaS productsInfluence KPI-, feature-, and revenue-driving decisionsPartner directly with execs, PdMs, Engineers, Sales, and MarketingBuild a scalable analytics team and operational frameworkLead analytics tied to business KPIs (ARR, churn, product adoption, activation, funnel efficiency)If you want both organizational influence and hands-on analytical excellence, this is the right environment.Key Responsibilities1. Business & Product Analytics LeadershipLead analytics for various AI products and drive product growth using dataOwn KPI frameworks, design dashboards, and push insight-driven roadmapsAnalyze GTM performance and optimize funnels, touchpoints, and ROI2. Cross-Functional CollaborationAct as the analytics partner for Sales, Marketing, CS, Product, and EngineeringTranslate business questions into analytical requirements and modelsHelp departments become autonomous with data-driven decision-making3. Advanced Analytics ExecutionConduct deep-dive analyses using statistical methods & machine learningBuild prototypes, automation tools, and POCs for predictive and prescriptive analyticsLeverage Salesforce/Marketo data to optimize lead scoring, targeting, and operational efficiency4. Team LeadershipManage and mentor data analystsEstablish best practices, documentation, and scalable processesRemove blockers and maximize team performanceTech EnvironmentBI: Looker, Looker StudioCloud: Google CloudDWH: BigQueryLanguages: Python, SQLWeb Analytics: Google AnalyticsSFA/MA: Salesforce, HubSpot, MarketoVersion Control: GitHubRequired Experience7+ years as a Data Analyst or ML EngineerTeam management experienceStrong Python/R + SQL skillsExperience working in cloud analytics environments (GCP/AWS)Business-level English & Japanese (JLPT N1)Preferred ExperienceDesigning analytics strategies aligned with business goalsKPI framework design for SaaS/Web servicesB2B marketing analytics & funnel optimizationExperience building sustainable analytics processesCompetitive ML/DS experience (e.g., Kaggle awards)Ideal CandidateWants to build a future where humans and AI work together in analyticsThinks strategically yet executes with precisionComfortable with ambiguity and fast-paced changeHighly collaborative and cross-functionalLogical, structured, data-driven thinker