Senior Product Analytics Engineer

Are you passionate about turning data into action? We're seeking an experienced Senior Product Analytics Engineer to join our product organization and help shape the future of SoSafe's data-informed decision-making. In one of Europe's fastest-growing cybersecurity scale-ups, you will play a key role in translating complex data into clear insights that directly influence product strategy, user experience, and business growth. You'll partner closely with Product Managers, Designers, Engineering, and Go-to-Market teams to uncover opportunities, validate ideas, and ensure we're building the right solutions and positioning them effectively for our users and customers. Location Requirement: Lisbon or Portugal. Candidates must have work authorization in Portugal. Office access available in Lisbon.

Responsibilities

Own product analytics across the different product lines: define, track success metrics and respective targets while ensuring alignment with overall Product and Company strategy; Influence Decision-Making: use a deep understanding of the product, users, and business to craft compelling data stories that guide product leaders in critical decisions; Build reusable, scalable data products: collaborate with other engineers in developing data products that enable self-service analytics and democratize data access; Build a governed self-service layer: define practices on event instrumentation & taxonomy for the event-driven architecture and self-service analytics tooling, and enable Product and GTM peers on event instrumentation and insight generation; Drive Data Literacy: evangelize the use of data and empower teams to self-serve insights through enablement and close partnership; Work AI-native: continuously evaluate where LLMs and AI tooling can compress workflows (query generation, dashboard building, insight synthesis) and apply them deliberately; Work cross-functionally with GTM: connect product usage to commercial outcomes (win/loss, expansion, renewal) and scale repeatable analyses/automations

Requirements

5+ years of experience in a data analytics, analytics engineering, or data science role, with significant experience directly supporting product teams in B2B companies; Expert in the fundamentals of product analytics including building metric trees, experimentation, user activity & retention analytics, funnels & customer segmentation; Excellent SQL skills and strong experience using DBT for data transformations; Experience coding in Python is also relevant; Strong experience with data modelling for scale and reusability; Demonstrated experience using current LLM offerings to meaningfully improve your own or your team's workflows or results, with concrete examples of what you automated, sped up, or offloaded and the measurable impact; Ability to combine curiosity and ambition with a strategic mindset; Experience working with event-based tracking data for web or mobile, and hands-on experience with a behavioral analytics tool (e.g. Amplitude, Heap, MixPanel); Ability to communicate findings succinctly and clearly to a wide variety of stakeholders; Relevant experience in cross-functional projects with GTM, such as Customer Success, RevOps or Product Marketing (e.g. churn early-warning, renewal/expansion predictors, win-loss usage mapping)

Benefits

Work/Life balance: flexible hours, 33 vacation days; Wellbeing and financial support: access to Open Up, corporate discounts; Connection & community: virtual events, collaborative team activities, and opportunities for local meet-ups; Tech equipment; Referral bonuses; Dog-friendly HQ