About the job Product Manager, Data Analytics RESPONSIBILITIESAssisting with growth hacking experiment analysis, reporting, results interpretation and next steps recommendationsProducing insightful reports and data visualization along a weekly and monthly cadence on experiment progress, to inform future experimentation decisionsBeing extremely close to our product metrics to be able to regularly come up with novel insights/ideas to populate our experiment backlogSupporting with backlog item impact projection, ensuring that experiment hypotheses are logically and statistically soundEnhancing existing data quality and structure through regular reviews and audits, and putting together requirements for ad-hoc data cleanup tasksIdentifying opportunities for reporting overhead optimisation, automating reporting where needed with our customer-facing squadsIn the mid-to-long term…Transition into a PM role with a dedicated squad, completely owning the data topic in its entirety across the company and managing a Scrum team of engineers to help achieve your data visionBegin thinking outside of our existing data structure and putting together a roadmap for what it could/should be, even if radically different from the present situationUnify and standardise the company’s entire tracking structure across all departments, marketing, product, onsite, campaigns, etc.Explore wildly different alternative solutions to our data tracking, driving and leading any data migration projects, e.g.: Segment, Mixpanel, Amplitude, etc.Acting as the data thought leader within the company, i.e.: the go-to person for best practices on data interpretation, event tracking and tagging structure, and statistical analysisQUALIFICATIONSGoogle Analytics (certified), Tag Manager, Big Query / SQL proficientGood knowledge in R and Python for statistical analysisStrong knowledge in experimentation / A/B testing tools and best practisesStrong knowledge in e-commerce KPIsStrong knowledge of Customer Data PlatformsProficient in both English and Mandrain