What You'll DoWe're looking for a Senior Data Analyst who can not only deliver insights, dashboards, and analysis but also help connect the data behind them. This role blends analytics with light analytics engineering, ensuring the data our teams rely on is accurate, well-structured, and accessible. You'll work across marketplace, advertising, and revenue platforms to understand user behavior, performance trends, and product outcomes. You'll also help coordinate the flow of data from source platforms into our data warehouse and reporting tools so insights are consistent and trustworthy.
- Analyze user behavior to identify interests, predict actions, and map the path to purchase for RVs, motorcycles, boats, and commercial equipment.
- Develop and maintain dashboards and reports using tools like Tableau and Power BI to enable self-serve insights for sales teams.
- Work on sales attribution by combining cross-category sales data with on-site user shopping behavior to support the value of our partnerships.
- Leverage multiple data sources to create innovative visualizations that better depict user engagement and the customer journey.
- Help scope and coordinate data integrations from platforms into Snowflake and BI tools.
- Work with engineering to support ELT pipeline requirements, define logic, validate incoming data, and ensure successful delivery.
- Transform raw data into reporting-ready models (joins, mapping, standardization, QA) using SQL in our data warehouse.
- Provide actionable recommendations to improve customer engagement and product performance throughout the purchase journey.
- Develop proactive monitoring and alerting systems to identify and respond to anomalies in performance metrics such as eCPM, CTR, RPM, and viewability.
- Analyze programmatic data, including bid streams and pricing models, to identify revenue optimization opportunities.
- Partner with Ad Ops and Finance to reconcile delivery, billing, and performance data across platforms for reporting accuracy and client satisfaction.
What We're Looking For- 4+ years of experience in data analysis, ideally within digital media, ad tech, marketplace, or ecommerce environments.
- Proficiency with BI and visualization tools (Power BI, Tableau, Pyramid, Looker Studio, etc.) and strong SQL skills.
- Experience analyzing user behavior, conversion funnels, and performance metrics across multiple platforms.
- Experience working with data pipelines or integrations, and the ability to coordinate cross-functional technical projects.
- Familiarity with ELT concepts, data modeling, or analytics engineering tasks.
- Strong data storytelling skills. The ability to break down complex findings into clear, compelling recommendations.
Bonus Points- Bachelor's degree in Data Science, Analytics, Statistics, or a related field (or equivalent experience).
- Basic coding skills in Python, R, or a similar language to support data preparation and advanced analysis.
The expected salary range for this role is $79,000 - $90,000 CADDepartment Media Locations Toronto, ON
