🕒 2 days ago
Own analytical projects that improve revenue, profitability, and operational performance across the insurance business, turning complex data into actionable recommendations and measuring their impact.
Senior Data Analyst
📅 Aug 17
Data AnalysisBusiness IntelligenceProduct AnalyticsSQL
📜 Description
- Analyze product usage, feature adoption, and telemetry data alongside financial metrics to optimize user experience and support product strategy.
- Own the end-to-end analytics lifecycle, including data modeling, dashboard creation, and KPI development.
- Deliver high-accuracy analyses independently across various product initiatives.
- Partner directly with cross-functional business stakeholders, managing requirements and delivering precise insights on tight turnarounds.
- Serve as a technical guide to coach and mentor the team's cohort of associate-level analysts.
🛠️ Requirements
- 5+ years in data analysis, BI, or product analytics within a SaaS or tech company.
- Experience working with product telemetry/usage data is strictly required.
- Advanced SQL and Python skills.
- Strong expertise in Databricks (PySpark, notebooks, data lakehouses/medallion architecture, AWS S3).
- Hands-on experience with visualization tools—Looker preferred.
- Familiarity with APIs, structured data formats (JSON, DataFrames), and version control via GitHub.
- Strong curiosity, meticulous attention to detail, proactive problem-solving, and clear communication skills.
Full job description
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale.
As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development.
More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains.
At Sonatype, we empower developers with best in class tools to build secure, high-quality software at scale. Our mission is to create a world where software is always secure and developers can innovate without fear. Trusted by thousands of organizations, including Fortune 500 companies, we are pioneers in software supply chain management, open source security, and DevSecOps.
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.
What You’ll Do:
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.
What You'll Bring:
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 we're proud of:
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