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About the Role
As a Senior BI Analyst, you will own your domain's data landscape, building and maintaining the data infrastructure that supports executive decision-making. This role involves creating data pipelines, ETL jobs, executive-level dashboards, and conducting deep-dive analyses, combining analytical depth with engineering capabilities to translate business questions into actionable insights.
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines using dbt, Databricks, Spark SQL, and Airflow.
- Act as the steward of your domain's data landscape, implementing automated data quality checks, monitoring, and alerting.
- Write performant, maintainable SQL for large-scale data transformations and collaborate with central Data Engineering teams.
- Build and maintain executive-level BI dashboards (Tableau, Databricks) and conduct deep-dive analyses.
- Own critical business reporting (WBRs, QBRs, forecasting) and act as the trusted analytics partner across Product, Marketing, Finance, and Operations.
- Document data models, pipelines, and methodologies to enable self-service.
- Mentor junior analysts and engineers on SQL best practices, data modeling, and stakeholder communication.
Requirements
- 6+ years of experience in BI Analytics, Data Engineering, or Analytics Engineering, ideally in a fast-paced B2C, subscription, or growth-oriented business.
- Advanced SQL proficiency and data pipeline experience, comfortable with complex transformations, performance-tuning, and building/troubleshooting ETL/ELT pipelines at scale.
- Hands-on experience with dbt, Databricks, Spark SQL, Airflow, or similar orchestration and transformation tools.
- Strong understanding of dimensional modeling, star schemas, and designing scalable data models.
- Proven ability to build and maintain BI dashboards (Tableau, Databricks, Looker, or similar) that reach senior leadership.
- Experience translating ambiguous business challenges into structured analytical work and influencing cross-functional partners.
- Proactively identifies issues, drives solutions, and takes accountability for data quality and delivery.
Skills
- dbt
- Databricks
- Spark SQL
- Airflow
- SQL
- Tableau
- Looker
- Python
- Great Expectations
- Monte Carlo
- dbt tests
- Snowplow
- Google Analytics
- Segment
- GA4
- AWS
- GCP
- Azure
Location
- Toronto, ON
Work Type
- Hybrid
- Remote
Experience Level
- Senior
Salary/Compensations
- $82,000—$92,000 CAD
Benefits
- 75% discount on weekly HelloFresh and Chefs Plate meal kits
- 50% off weekly Factor meal box
- Health & Dental benefits from day 1
- Health Spending Account
- Unlimited access to the Headspace app
- 25% discount on GoodLife fitness memberships
- Generous vacation and PTO
- Parental leave top-up program
- Growth & Development opportunities
- Team socials and company days
About the Company
- HelloFresh is a meal kit company.
- HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently.
Equal Opportunity
- With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.