Principal Data Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate with product managers and interdisciplinary teams to solve business challenges and seize opportunities through data analysis.

• Extract actionable insights from extensive and intricate datasets.

• Establish product metrics through north-star metrics, KPI/OKR frameworks, metric trees, instrumentation, guardrails, and measurement post-launch.

• Utilize AI coding and analytical tools to enhance SQL/Python development and streamline repetitive analytical tasks.

• Develop lightweight data applications or assistants and create reusable, validated workflows.

• Generate data visualizations using Power BI, Looker, or equivalent tools.

• Construct and enhance canonical datasets, semantic models, metric definitions, dashboards, and self-service capabilities.

• Extract data-driven insights that support PSET platform results, performance, user engagement, and business outcomes.

• Collaborate with Data Engineering to ensure data quality, lineage, observability, and scalable pipeline solutions.

• Implement version control, testing, code reviews, and reproducible development practices.

• Convey complex findings as succinct decisions and trade-offs.

• Guide analysts and cross-functional teams on problem framing, experimentation, AI-assisted analytics, and data storytelling.

⛳️ Requirements

• Over 8 years of experience in large-scale data analysis, business intelligence, or a related discipline.

• Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related area.

• Proven experience at the principal/staff level.

• Practical experience with AI-assisted development and analytical tools like Claude Code and Cursor.

• Strong proficiency in SQL.

• Expertise in Python or R for data analysis and modeling purposes.

• Familiarity with data warehouse ELT tools such as Airflow, dbt, and Snowflake.

• Experience with semantic layers, governed metric definitions, and BI/visualization tools like Looker or Power BI.

• Demonstrated analytical and problem-solving skills.

• Understanding of statistical techniques and modeling methodologies.

• Ability to articulate complex data insights to both technical and non-technical audiences.

• Capacity to collaborate across functions and support strategic initiatives.

🏝️ Benefits

• Annual cash bonuses may be included.

• Stock grants may be included.

• Comprehensive benefits package.

• In-person onboarding and/or in-person ID verification may be required.