Data Lead (Canada)

Location: Hybrid – Canada; Toronto, ON preferred. A mandatory in-person interview is required at a hub office in Salt Lake City, Austin, or Toronto. This position cannot be filled by a B.C. resident.

Company

hirify.global is an AI-native holding company re-engineering omnichannel retail through its Genesis operating platform, data fabric, automation engine, proprietary tools, and shared services across 13 brands.

What you will do

• Write, review, and debug SQL and Python, including AI-generated code, to build and maintain analytical data models across the portfolio.
• Design semantic layers and reusable data models in Looker, Tableau, Power BI, or comparable BI tools as a trusted source for business metrics.
• Integrate and reconcile data from ERPs, web analytics platforms, and other operational systems across brands and business units.
• Validate data, identify inaccurate results, reconcile discrepancies, and maintain data quality and governance.
• Scope data requests, assess feasibility and trade-offs, define KPIs, and translate business questions into actionable analytical approaches.
• Partner with data engineering, business stakeholders, and external vendors while using AI tools such as Claude Code and Codex to accelerate analysis, coding, and documentation.

Requirements

• Strong SQL and Python skills, including the ability to write, review, and debug AI-generated code.
• Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift and data modeling.
• Familiarity with ERP and web analytics sources such as NetSuite and Google Analytics.
• Solid understanding of ETL/ELT pipelines, data warehousing, and orchestration tools such as Airflow.
• Experience integrating and reconciling data across multiple systems or business units, including metric definitions and master data.
• Rigorous data validation and governance practices with the ability to identify inaccurate results.
• Proficiency with at least one modern BI tool, including semantic layers or reusable data models.
• Fluency with AI coding and analysis tools and the judgment to validate their outputs critically.
• Business acumen, KPI definition experience, and the ability to translate business questions into analytical approaches.
• Proven ability to partner with data engineering, stakeholders, and external vendors while setting realistic delivery expectations.

Nice to have

• Foundation in statistics and experimentation, including A/B testing and hypothesis testing.
• Experience building AI-assisted analytics workflows or enabling teams to adopt AI tools.
• Experience in e-commerce, retail, or marketing analytics, including affiliate or attribution analytics.

Culture & Benefits

• Builder-oriented environment with ownership, fast execution, and direct business impact.
• Cross-functional work supporting marketing, finance, operations, and merchandising across the brand portfolio.
• AI tooling is a core part of the analytics workflow.
• End-to-end ownership from raw data through scoping, modeling, validation, and delivery.
• Paid time off, RRSP match, medical, dental, and vision coverage, supplemental benefits, and employee discounts.

Hiring process

• Recruiter screen, hiring manager interview, technical or case discussion, and team or panel interview.
• Mandatory in-person interview at a hub office before an offer, followed by reference checks and an offer stage.
• A valid LinkedIn profile URL or credible alternative evidence of professional background is required; employment is contingent on a background check.