Senior Product Analyst for B2C SaaS video streaming platform

We're a small subscription-based digital product company looking for a Senior Product Analyst to take ownership of our experiments, metrics, and analytics work. WHAT YOU'LL OWN • Experiments lifecycle. From defining the initial hypothesis to inlet filtration, metric selection, sample size, stopping criteria, and post-test analysis - you'll run the full cycle. You'll be the person who proposes what we measure and why, and who flags when a proposed test isn't worth running in the first place. • Creating and supporting dashboards people actually use. Clear, well-structured, decision- oriented. The test is whether a stakeholder can open one, draw understandable conclusions and know what to do next. • Stakeholder partnership. You'll be a part of the product team rather than receiving inputs from one person. That means preparing data deliverables that other people can pick up, understand, and act on without a translation layer. • Interpretation grounded in product reality. Across experiments, KPIs, and questions from stakeholders, you'll help the team to look into patterns related to actual users behaviour, driving meaningful insights and ideas for product changes • Tooling strategy. Our current tools (Amplitude plus Tableau with backend data) have taught us a lot. You'll have a point of view on how analysis and data acquisition connect, where our current setup serves us, and where it needs to change. We want someone who treats the measurement architecture itself as a thing to improve on - not just a given. WHAT WE'RE LOOKING FOR • Several years of experience as a product analyst, analytics lead, or similar role in a digital product environment - ideally subscription or e-commerce • Strong experimentation skills: designing A/B tests that answer the question, knowing when a result is real and when it isn't, segmenting and reading funnels with intent, and a healthy skepticism about your own measurements. • Hands-on with Amplitude (or equivalent), data visualisation tools (like Tableau) and SQL against a product database; comfortable cross-checking client-side and backend data and investigating the differences • Good communicator in English, in writing and spoken - you can make a complex finding understandable for non-technical stakeholders • Product instinct: you think from the user's perspective, not just the metric's • An opinion about different analytics tools, and the experience to back it up