About the Role:

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In this opportunity as a Data Analyst - Product Analytics, you will be responsible for:

• Analytical Tools Implementation: Partner with developers/platform architects to deploy relevant product analytics solutions (like Pendo) and ensure the right metrics, journeys, and events are captured in-product.
• Data-Driven Decision Making: Use product analytics/data to recognize patterns and trends to understand user behavior and identify improvement opportunities.
• Measurement Frameworks: Proactively establish measurement frameworks/success metrics for new product launches/features and drive actionability through data-driven insights.
• AI-Powered Analytics: Leverage AI tools, including RAG (Retrieval-Augmented Generation) chains for knowledge synthesis, LLMs for complex data analysis, and AI-powered tools for data analysis and insight generation.
• Stakeholder Management: Independently develop and manage relationships with peers/product managers/senior leadership for your portfolio, ensuring collaborative partnership for OKR setting and driving analytical insights.
• Center of Excellence: Partner with product teams to define and maintain support processes and instill a data-driven culture within the organization.
• BI/Reporting: Partner with BI teams and other analysts to build dashboards and reports, including baselines and trends for page performance, feature usage, and customer segments.
• Thought Leadership: Demonstrate thought leadership by proactively leveraging analyses to understand products, derive insights, run experiments, and be the contact point for any analytics need for your portfolio.
• Teamwork: Support peers (including data analysts) in their defined roles, mentoring them with best practices and providing recommendations for their analysis.

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About You:

You're a fit for the role of Data Analyst - Product Analytics if your background includes:

• 2-4 years of hands-on product analytics experience that includes some experience planning analytics measurement, working with stakeholders, and influencing specific decisions, OKRs, or metrics.
• 2-4 years of experience independently driving data-driven decision-making within product teams, going beyond report generation to deliver insights through data storytelling. Experience with analyses such as customer journey mapping, audience profiling/segmentation, cohort analysis, tag management, and A/B testing.
• 2-4 years of experience using SQL; building and documenting queries for consistent team use.
• 2-4 years of experience with dashboarding techniques to make complex data more understandable and insightful using tools such as Tableau and Power BI.
• 2-4 years of experience using statistical packages within Python/R to analyze structured and unstructured datasets and deliver insights on product usage and performance.
• Strong understanding of statistical concepts, including hypothesis testing, confidence intervals, correlation analysis, regression analysis, and statistical significance to ensure rigorous data interpretation.
• Experience with AI-powered analytics tools, including familiarity with prompt engineering for LLMs, using AI for data analysis and interpretation, and understanding of RAG systems for knowledge management.
• Strong communication skills, including experience in supporting and communicating data-driven analyses to various departments and stakeholders.
• Exposure to product analytics tools such as Pendo, Amplitude, Adobe Analytics, and Google Analytics is an asset.
• Building and maintaining support processes, e.g., MS Azure DevOps, and MS SharePoint experience is an asset.
• SaaS experience is an asset.

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