Note: The job is a remote job and is open to candidates in USA. ClickUp is building an AI-native workspace that unifies tasks, documents, chat, calendars, and enterprise search. The Principal Data Analyst, Product will lead the product analytics agenda, develop scalable measurement and AI-enabled analytics workflows, and deliver insights that shape product strategy and executive decisions. The role partners with Product, Engineering, Design, and Growth while mentoring analysts and improving analytical practices.
Responsibilities
- 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
- Apply AI-first methods across the analytics workflow, using large language models, coding agents, and automation for tasks like query drafting, QA, validation, documentation, and first-pass synthesis while keeping human judgment at the center of final recommendations
- 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
Skills
- • 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
- • 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
Benefits
- Remote work
Company Overview
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