Principal Data Analyst, Product

Навыки

• Amplitude
• B2B-продажи
• Когортный анализ
• Коммуникация
• dbt
• Анализ воронки
• LLM

О компании и продукте

• At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company

Задачи

• Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, and translate open-ended business questions into structured analyses and clear recommendations
• Partner with Product, Engineering, and Design to define success metrics early, improve instrumentation quality, and ensure important product surfaces are measurable from launch
• Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources that help product teams answer routine questions faster and more consistently
• Design and interpret experiments, observational analyses, and trend investigations, including situations where data is incomplete or traditional experimentation is not feasible
• Surface meaningful patterns in behavioral, subscription, and product data to influence roadmap choices, prioritization, and executive decision-making
• Create monitoring and alerting approaches that reduce manual reporting cycles and make it easier to spot product opportunities, risks, and anomalies earlier
• Mentor analysts and elevate team practices around analytical rigor, AI-assisted workflows, insight storytelling, and stakeholder communication
• Drive the product insight agenda by helping ClickUp make faster, smarter product decisions through rigorous analysis, strong product judgment, and AI-enabled analytics workflows

Требования

• Significant experience in analytics, business intelligence, data science, or product analytics, including strong experience partnering with Product teams in a B2B SaaS or product-led growth environment
• Advanced SQL skills and strong familiarity with modern cloud data and analytics tooling such as Snowflake, dbt, Amplitude, Segment, Hex, Tableau, Looker, or similar platforms
• Working proficiency in Python for analysis, automation, or experimentation support
• Strong product analytics judgment, including experience with event instrumentation, funnel analysis, cohort analysis, retention, feature adoption, and experimentation
• Demonstrated ability to translate broad, ambiguous questions into structured analysis plans and actionable recommendations for senior stakeholders
• Excellent written and verbal communication skills, with a track record of making complex findings easy for product and executive audiences to act on
• Clear examples of using AI, automation, or agentic workflows to improve analytics speed, scale, or quality while maintaining strong QA and decision discipline
• A high-ownership working style with strong prioritization skills and a track record of independently driving high-impact work
• Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process
• Join us and help redefine what's possible. 🚀
• We’re hiring a highly influential product analytics leader who can turn ambiguous questions into sharp insight, scalable measurement, and recommendations that directly shape what we build
• This person will partner closely with Product, Engineering, Design, and Growth to raise the bar on decision quality and establish a more AI-native analytics operating model

Будет плюсом

• Experience building or scaling product analytics practices, self-serve measurement systems, or reusable metrics frameworks
• Experience analyzing AI or LLM-powered product features and understanding how they influence activation, engagement, monetization, or retention
• Strong grasp of applied statistics, causal reasoning, and incremental impact measurement
• Experience mentoring analysts or setting best practices for how analytics teams operate
• Experience in fast-moving software environments where analytics directly influences roadmap tradeoffs and product strategy
• If you’re excited to shape product decisions, modernize how analytics work gets done, and help define what AI-first analytics looks like in practice, we’d love to talk

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