Product Analyst II

What You’ll Own

• End-to-end ownership of analytical projects, from problem definition and data exploration to analysis, solution development and adoption.
• Deep understanding of product and business context, translated into scalable analytical solutions that teams can rely on.
• Reporting systems that surface signal, not noise, simplifying complex data into clear answers, trends and actions for stakeholders and leadership.
• Dashboards and self-serve analytics that give Business, Product and Leadership a clear view of performance and the next action to take.
• Analytics that drive business and product decisions, identifying opportunities, diagnosing problems and measuring the impact of initiatives.
• Predictive and prescriptive analytics using statistical modelling and ML to anticipate trends, identify risks and support better decisions.
• Automation of recurring analytical workflows, replacing manual reporting and repetitive analysis with reliable, scalable solutions.
• Cross-functional delivery, partnering closely with Business, Product, Tech, Finance and Operations to translate business questions into analytical solutions and drive them through to execution.
• Leverage AI as a force multiplier, using AI models and tooling to accelerate analysis, automate workflows, identify patterns and anomalies, improve forecasting and decision-making, while applying strong analytical judgment to validate and act on the outputs.

Skills & Attributes

• Strong stakeholder management, able to align Business, Product, Tech, Finance and Operations around a shared objective and drive initiatives to completion.
• A strong bias toward execution, turning analysis and recommendations into measurable outcomes rather than stopping at insights or presentations.
• The ability to manage long-horizon projects and roadmaps while continuing to deliver visible wins along the way.
• Strong project management skills, capable of independently driving multi-month analytical projects and integrations from problem definition through launch and adoption.
• Comfort working with large, messy and disconnected datasets, with the ability to identify the patterns that matter for a business decision.
• The ability to communicate complex analysis clearly and simply, enabling stakeholders to act on findings.
• A knack for identifying opportunities where one scalable solution, such as an automation, dashboard, data pipeline or model, can solve problems across multiple teams.
• Genuine curiosity about products, users and business problems, with the ability to quickly understand context and translate it into analytical questions.
• Strong problem-solving mindset with the ability to move between strategic questions and detailed data investigation.

Experience & Tools

• 4+ years of hands-on experience with SQL, Python, advanced Excel and Tableau or Power BI.
• 3+ years of experience in a Product Analyst, Business Analyst, Data Analyst, Statistical Analyst or similar analytical role.
• 3+ years of overall experience in consumer tech, internet, technology, analytics or a data-driven business.
• A track record of shipping at least three end-to-end analytical solutions, from framing a business problem as a data problem through to a working and sustainable solution.
• Experience building dashboards, automated reporting pipelines, analytical frameworks or data products used by business stakeholders.
• Experience with statistical analysis, experimentation, forecasting or predictive modelling is a strong plus.
• Hands-on experience with Databricks, Tercept, SQL-based data platforms and BI tools is a strong plus.
• Experience working with large-scale data environments and multiple data sources is preferred.