Lead Product Analyst, HeliosX

• Bachelor’s degree in Business Administration, Information Systems, Data Science, or a related field
• 5+ years of experience in a data governance, data management, or data analysis role relating to Product and Web analytics
• Expert proficiency in Amplitude with proven experience in implementing event-based analytics for complex web and mobile applications
• Proficiency in Microsoft Excel/ Gsheet, BI tools (Tableau/Looker/PowerBI/ Metabase), cloud databases (ideally Snowflake) and SQL with the ability to query and interpret large datasets

Desirable

• We are seeking a highly skilled and experienced Senior Product Analyst to join our Business Analytics team
• In this role, you will be the key point of contact and represent the Analytics to interface with the Product team, using data-driven insights to help shape and prioritise the product roadmap
• You will be the product analytics expert, spearheading A/B testing/multivariate testing and product experiments to optimise user experiences and product performance
• Additionally, you will use your expertise to improve standards in Product Analytics reporting, experiments, AB testing - ensuring robust and statistically significant tests-, providing guidelines to educate and enable stakeholders to self-serve for experimentation, upskilling teams and ensuring appropriate data governance with the data engineering team to ensure data quality, accuracy, and compliance with best practices
• Product Analytics projects: be the primary point of contact between Product, Engineering and Data engineering teams for all product-related analytics and data-driven insights
• A/B Testing & Experiments: Advise and support Product managers on the design, execution, and analysis of A/B tests and product experiments to improve user experience and product performance
• Event-Based Tracking: Support Product and Engineering teams to define key user interactions and behaviours through event-based analytics, ideally with deep expertise in Amplitude. Familiarity with platforms such as GA4 or Mixpanel (or similar tool) would also be considered
• Amplitude configuration & reporting: interpret user journeys & product interactions, product experimentations, AB tests
• Knowledge sharing & technical mentorship: implement best practices across the business and upskill teams on event-based tracking & AB test configuration, interpretation ensuring statistical significance, and documentation
• Data Governance: Collaborate with data engineering to ensure data quality, accuracy, and compliance with internal standards - in particular for Amplitude event definitions and taxonomy, and to align reporting with Metabase (key BI internal reporting tool)
• Cross-Functional Collaboration: Work closely with product managers, UX designers, and developers to ensure analytics are integrated into the product development lifecycle
• Analysis & insights: Deliver data insights to help the product organisation understand better our users to define priorities and make informed decisions about product development and future initiatives