Analytics Engineer (Data)

TL;DR

Analytics Engineer (Data): Building and optimizing internal data infrastructure and semantic layers to enable self-serve analytics with an accent on AI-readiness and data trust. Focus on designing scalable metrics, modeling complex datasets, and integrating LLM-based analytical tools to drive decision-making across product and go-to-market teams.

Location: Must be based in Toronto, Ontario, Canada

Salary: $125,000 - $150,000 CAD

Company

hirify.global provides a post-purchase experience platform that helps retailers retain and engage customers through tracking, returns, and delivery notifications.

What you will do

• Partner with product and executive stakeholders to scope and define critical business metrics.
• Expand and maintain the semantic/metrics layer to ensure consistent and reusable data across the organization.
• Design and build end-to-end data pipelines to ingest new sources like GTM and product-usage data.
• Deliver self-serve analytics and reporting that are accessible to both internal partners and AI agents.
• Improve data trust by implementing validation, documentation, and clean modeling practices.

Requirements

• 3+ years of experience in analytics engineering or a closely related data role.
• Deep expertise in SQL and dimensional data modeling.
• Proven experience building and owning a semantic or metrics layer.
• Hands-on experience using Claude/Codex for analytical workflows and structuring metadata for LLMs.
• Ability to manage end-to-end data ingestion including orchestration and batch ETL.
• Strong communication skills to translate business needs into technical data specifications.

Nice to have

• Experience working with BigQuery, dbt, Cube, Looker, and Airflow/Composer.
• Background in supporting executive reporting and recurring operating cadences.
• Experience building agents or MCP tooling for data accessibility.

Culture & Benefits

• Mission-driven environment focused on simplifying the consumer post-purchase journey.
• Collaborative culture that values innovation, big hearts, and celebrating professional wins.
• Equal-opportunity employer committed to diversity and inclusion.
• Opportunity to work on high-scale data processing (10+ billion interactions).