s
sonatype
Senior Data Analyst
Skills
SQL QueriesLookerTableauPythonProduct StrategyDatabricksGitAmplitudeData AnalysisAWSGitHubJiraSalesforceHubspotPySparkPower BI
2 months ago
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Important information
Location:
Canada
Work mode:
Remote
Published on:
29 August 2026
What they need
Who you are
- 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)
What the job involves
- We are looking for a Senior Data Analyst to join our Business Intelligence team
- In this role, you will transform complex product datasets into actionable insights, build scalable analytics infrastructure, mentor associate-level analysts, and drive data-informed product decisions
- 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
Benefits
- Competitive benefits package
- Flexible work and schedule
- Annual wellness week
- Paid volunteer time off
- Full parental/maternity (birth or adoption) leave
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