Senior Data Analyst

Product Analytics & Telemetry: Analyze product usage, feature adoption, and telemetry data alongside financial metrics to optimize user experience and support product strategy.

Analytics & Data Modeling: Own the end-to-end analytics lifecycle, including data modeling, dashboard creation, and KPI development. Deliver high-accuracy analyses independently across various product initiatives.

Stakeholder Collaboration: Partner directly with cross-functional business stakeholders, managing requirements and delivering precise insights on tight turnarounds.

Mentorship: Serve as a technical guide to coach and mentor the team’s cohort of associate-level analysts.

Execution Metrics: Maintain high standards for ticket throughput, speed of delivery, and on-time completion rates for analytics tasks.

Experience: 5+ years in data analysis, BI, or product analytics—specifically within a SaaS or tech company. Experience working with product telemetry/usage data is strictly required.

Location: Must be based in Canada (excluding Quebec; Ontario or Eastern time zone preferred).

Technical Stack:

Advanced SQL and Python skills.

Strong expertise in Databricks (PySpark, notebooks, data lakehouses/medallion architecture, AWS S3).

Hands-on experience with visualization tools—Looker is heavily preferred (or ability to quickly adapt from Power BI/Tableau).

Familiarity with APIs, structured data formats (JSON, DataFrames), and version control via GitHub.

Qualitative Traits: Strong curiosity, meticulous attention to detail, proactive problem-solving, and clear communication skills.

Nice to Have: Knowledge of business systems (Salesforce, HubSpot, Jira, Amplitude, Gainsight).