Youre a fit for the role of Senior Data Analyst - Product Analytics if your background includes:
5+ years of hands-on product analytics experience that includes some experience planning analytics measurement, working with stakeholders, and influencing specific decisions, OKRs, or metrics.
5+ 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.
4+ years of experience using SQL; building and documenting queries for consistent team use.
4+ years of experience with dashboarding techniques to make complex data more understandable and insightful using tools such as Tableau and Power BI.
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.
Robust 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 Dev Ops, and MS SharePoint experience is an asset.