Analytics Engineer, Data

Role Overview

This role sits at the intersection of analytics engineering, data modeling, and AI-enabled decision systems, focused on building the trusted data foundation that powers self-serve insights across the organization.

What You Will Do

You will act as the bridge between business stakeholders and data systems, translating ambiguous questions into well-defined, reusable metrics and scalable data models. You will also help enable LLM-powered analytics experiences, ensuring data is structured and enriched for agentic querying and automated insight generation.

Why It Might Be a Fit

This is a highly collaborative, builder-focused role where success is measured by how much clarity and autonomy you create for others. You will work across product, go-to-market, and leadership teams in a fully remote, AI-native environment.

Requirements

• 3+ years of experience in analytics engineering, data engineering, or a closely related role with ownership of metrics or data models used across teams
• Strong expertise in SQL and data modeling (dimensional modeling, transformation pipelines, incremental models, and scalable architectures)
• Proven experience building or maintaining a semantic/metrics layer that is widely adopted across an organization
• Hands-on experience working with cloud data warehouses (BigQuery preferred), BI tools (e.g., Looker), and modern data stacks (dbt, Airflow, or similar)
• Experience integrating and structuring data for AI/LLM-driven workflows or agent-based analytics tools is highly valued
• Ability to build end-to-end data solutions, including ingestion, transformation, and modeling of new data sources
• Strong stakeholder management skills with the ability to translate business needs into technical data requirements
• A strong builder mindset focused on scalability, reuse, and enabling self-serve analytics across teams

Benefits

• Competitive compensation aligned with Canadian market benchmarks (approx. CAD $125,000 – $150,000 base range)
• Equity participation and performance-based bonus structure
• Fully remote work environment with flexible collaboration across time zones (EST/EDT aligned)
• Opportunity to work at the forefront of AI-native analytics and LLM-powered data systems
• Exposure to high-scale datasets and global enterprise customers
• Strong emphasis on ownership, autonomy, and impact-driven engineering culture
• Comprehensive benefits package including health coverage and additional employee perks