Senior BI Analyst, Reporting & BI (m/f/x) at HelloFresh in Toronto, Ontario, Canada
- Company: HelloFresh
- Location: Toronto, Ontario, Canada
- Posted: Sep 23, 2026
- Type: Full-time
- Salary: $82,000—$92,000 CAD
- Experience: 6+ years
Overview
As a Senior BI Analyst in the Reporting & BI team, you will be the owner of HelloFresh's data landscape for your domain. You will build and maintain the data infrastructure that powers executive decision-making — from creating data pipelines and ETL jobs to building executive-level dashboards and co…
Job description
- As a Senior BI Analyst in the Reporting & BI team, you will be the owner of HelloFresh's data landscape for your domain. You will build and maintain the data infrastructure that powers executive decision-making — from creating data pipelines and ETL jobs to building executive-level dashboards and conducting deep-dive analyses.
- You combine analytical depth with engineering capabilities: translating ambiguous business questions into actionable insights and own end-to-end delivery — from raw data ingestion through transformation pipelines to polished dashboards and strategic recommendations that reach C-suite stakeholders.
- This role is ideal for someone who thrives at building things: pipelines, data models, dashboards, and insights — all while ensuring data quality, scalability, and business impact.
Responsibilities
- Design, develop, and maintain ETL/ELT pipelinesusing dbt, Databricks, Spark SQL, and Airflow — transforming raw data into robust, scalable models that power analytics across the business
- Act as the steward of your domain's data landscape: implement automated data quality checks, monitoring, and alerting to proactively catch issues, and troubleshoot pipeline failures with timely root-cause fixes
- Write performant, maintainable SQL for large-scale datatransformations and collaborate with central Data Engineering teams on schema design and technical requirements
- Build and maintain executive-level BI dashboards (Tableau, Databricks)and conduct deep-dive analyses that translate complex, ambiguous business questions into data-driven strategic recommendations
- Own critical business reporting (WBRs, QBRs, forecasting) and act as the trusted analytics partner across Product, Marketing, Finance, and Operations — ensuring insights are accurate, timely, and actionable
- Document data models, pipelines, and methodologiesto enable self-service, and 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
- Modern data stack tools — hands-on experience with dbt, Databricks, Spark SQL, Airflow, or similar orchestration and transformation tools
- Data modeling expertise — 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
- Stakeholder management — experience translating ambiguous business challenges into structured analytical work and influencing cross-functional partners (Product, Marketing, Finance, Operations)
- Ownership mindset — proactively identifies issues, drives solutions, and takes accountability for data quality and delivery
- Python for data transformation, ad-hoc analysis, automation, or lightweight modeling
- Experience with data monitoring and alerting frameworks (Great Expectations, Monte Carlo, dbt tests)
- Experience with event-level behavioral data and tracking design (Snowplow, Google Analytics, Segment, GA4) — schema design, entity modeling, event naming
- Exposure to statistical modeling techniques — segmentation, clustering, regression, cohort analysis
- Experience with cloud data platforms (AWS, GCP, Azure) or data migration projects.
Skills
Required
- Advanced SQL
- Data pipeline experience
- dbt
- Databricks
- Spark SQL
- Airflow
- Data modeling
- Stakeholder management
- Ownership mindset
Preferred
- Python
- Cloud data platforms (AWS, GCP, Azure)
Benefits
- Box Discount- Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- Health & Wellness- Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- Vacation & PTO- Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- Family Benefits- A parental leave top-up program for expectant parents.
- Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
- Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- Diversity & Inclusion Initiatives- With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- $82,000—$92,000 CAD
About HelloFresh
At HelloFresh, our mission is simple: to change the way people eat, forever. As a global digital-native FMCG company and the world's leading mealkit provider, we are transforming the traditional food supply chain through a data-driven, on-demand model that enables scalable and more sustainable food delivery. The HelloFresh Group includes eight brands serving customers across multiple meal occasions, including HelloFresh, Green Chef, EveryPlate, and Chefs Plate, as well as ready-to-eat meals from Factor and YouFoodz, meat and seafood subscriptions through Good Chop, and pet nutrition with The Pets Table. Through technology, data, and culinary innovation, we deliver personalized food experiences to millions of households worldwide.