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Principal Data Analyst, Product

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

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💵 $205k - $251k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

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Logo of ClickUp

ClickUp

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 Description

• Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, translating open-ended business questions into structured analyses and clear recommendations • Partner with Product, Engineering, and Design to define success metrics, improve instrumentation quality, and ensure product surfaces are measurable from launch • Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources • Apply AI-first methods using large language models, coding agents, and automation for query drafting, QA, validation, documentation, and first-pass synthesis • Design and interpret experiments, observational analyses, and trend investigations, including cases with incomplete data or infeasible traditional experimentation • Surface patterns in behavioral, subscription, and product data to influence roadmap choices, prioritization, and executive decision-making • Create monitoring and alerting approaches to reduce manual reporting and identify product opportunities, risks, and anomalies earlier • Mentor analysts and elevate practices around analytical rigor, AI-assisted workflows, insight storytelling, and stakeholder communication

🎯 Requirements

• Significant experience in analytics, business intelligence, data science, or product analytics • Strong experience partnering with Product teams in a B2B SaaS or product-led growth environment • Advanced SQL skills • 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 • Experience with event instrumentation, funnel analysis, cohort analysis, retention, feature adoption, and experimentation • 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 actionable for product and executive audiences • Demonstrated use of AI, automation, or agentic workflows to improve analytics speed, scale, or quality while maintaining QA and decision discipline • High-ownership working style and strong prioritization skills • Desirable: experience building product analytics practices, self-serve measurement systems, or reusable metrics frameworks • Desirable: experience analyzing AI or LLM-powered product features • Desirable: strong grasp of applied statistics, causal reasoning, and incremental impact measurement • Desirable: experience mentoring analysts or setting analytics team best practices • Desirable: experience in fast-moving software environments where analytics influences roadmap tradeoffs and product strategy

🏖️ Benefits

• Equity • 401k • Health, Dental, and Vision insurance • Spending accounts • Life & Disability • Paid parental leave • Flexible paid time off • Enhanced employee assistance program • Employee wellness stipend • Professional development stipend

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