Sr. Product Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Product Analyst based in Brazil. The Sr. Product Analyst will serve as a strategic analytics partner to product teams, helping shape product roadmaps, prioritize opportunities, and measure the impact of product decisions. This senior individual contributor role combines advanced data analysis, experimentation, and product measurement to improve digital experiences for both consumers and business partners. You will own key metrics across product funnels, feature adoption, engagement, and retention, translating complex behavioral data into actionable recommendations. Working closely with Product, Design, UX Research, and Data Engineering, you will design experiments, establish measurement standards, and ensure data quality throughout the product lifecycle. AI-powered analytics will be central to your daily work, using Claude, Claude Code, and automated workflows to accelerate insights and improve self-service analytics. This remote opportunity is ideal for an analytically rigorous, independent professional who can influence decisions, communicate confidently with leadership, and promote responsible, evidence-based use of data and AI. Accountabilities: • Product strategy and insights • Partner directly with product teams during planning and roadmap discussions to identify, assess, and prioritize opportunities before development begins. • Define and maintain consistent metrics and measurement standards across dashboards and the semantic layer. • Own measurement of product funnels, feature adoption, engagement, and retention across consumer-facing and school-facing experiences. • Conduct in-depth analyses of user behavior and audience segments, pairing each finding with clear recommendations and actionable next steps. • Proactively identify friction points, user drop-offs, and improvement opportunities, collaborating with Product, Design, and UX Research to combine behavioral data with qualitative insights. • Experimentation and impact measurement • Lead A/B tests from design through analysis, including experiment sizing, guardrail metrics, duration, tracking setup, and interpretation of results. • Configure and validate experiment tracking through Google Tag Manager (GTM) and Google Analytics 4 (GA4). • Distinguish meaningful signals from statistical noise and communicate findings, limitations, and confidence levels clearly. • Contribute to experimentation standards and ensure tests are connected to meaningful business and product outcomes rather than superficial engagement metrics. • Measure launches that cannot be randomized using appropriate causal inference methods and clearly communicate the strength of the evidence. • Measurement implementation and data quality • Define measurement requirements and GA4 event specifications for new features before launch. • Build and test GTM tags and collaborate with Data Engineering on server-side tracking and data pipeline requirements. • Conduct post-launch data quality checks, review tracking changes made by partner teams, and identify issues related to consent, missing events, or incomplete tracking. • Build and maintain dashboards and self-service analytical tools, including Streamlit applications, to help product managers answer recurring questions independently. • Contribute to dbt models and the self-service semantic layer in partnership with Data Engineering. • Support new data systems and tracking changes, including consent management, reporting requirements, GA4 reconciliation, and launch measurement. • AI-powered analytics and automation • Use Claude and Claude Code daily to write and review SQL, explore datasets, draft analytical summaries, and build Streamlit applications. • Develop and maintain the semantic layer, Claude skills, and supporting context, including metric definitions, table guides, and experimentation standards, to improve the reliability of AI-assisted analytics. • Automate recurring analytical tasks such as experiment readouts, KPI monitoring, and launch reviews using AI-driven workflows. • Use AI tools to identify product launches that require measurement planning and help teams incorporate analytics into product development. • Enable product managers to use AI-assisted self-service analytics by maintaining approved skills and metric definitions, coaching stakeholders on interpreting data, and reviewing findings before they inform decisions. • Support the adoption of AI tools across Analytics and Product teams and help establish standards for validating AI-generated outputs. • Analytical rigor and stakeholder influence • Maintain high standards for reproducible SQL, documented analytical methods, validated results, and clear distinctions between correlation and causation. • Independently verify AI-generated queries, calculations, and reasoning before using or sharing analytical outputs. • Informally mentor analysts and review or challenge analyses produced by colleagues and product partners, including AI-assisted work. • Present findings and recommendations to product and company leadership, clearly explaining the business implications and recommended actions. • Over time, build a scalable measurement framework for assigned product areas, influence roadmap prioritization, and contribute improvements to the Analytics team's tools, methods, and processes. Requirements: • Experience: At least 5 years of experience in product analytics, data analytics, or a closely related data-focused role. • Demonstrated experience designing, analyzing, and managing A/B tests, as well as owning product measurement from planning through post-launch evaluation. • Hands-on experience analyzing web or application behavioral data using GA4, GTM, PostHog, Amplitude, Mixpanel, or similar platforms, including an understanding of their limitations. • Practical experience using C