Senior Product Analytics Engineer at SoSafe in United Kingdom Remote
- Company: SoSafe
- Location: United Kingdom Remote
- Posted: Sep 23, 2026
- Type: Full-time
- Experience: 5+ years
Overview
Application 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…
Job description
- Application
- 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.
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 our 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 our 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 by increasing data literacy through enablement and close partnership.
- Work AI-native: Continuously evaluate where LLMs and AI tooling can compress your workflow — from query generation to dashboard building to insight synthesis — and apply them deliberately to increase the speed and scope of what you and the team deliver.
- 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 an data analytics/ analytics engineering/ 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 offering 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 it had.
- Ability to combine curiosity and ambition with a strategic mindset — continuously seeking better ways to deliver impact, scale insights, and drive business outcomes.
- 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 etc.
- Ability to communicate findings succinctly and clearly to a wide variety of stakeholders so that they can draw conclusions quickly and make rapid decisions.
- Relevant experience in cross-functional projects with GTM: proven valuable projects with Customer Success, RevOps or Product Marketing (e.g., churn early-warning, renewal/expansion predictors, win-loss usage mapping).
Skills
Required
- SQL
- DBT
- Python
- Data modeling
- Product analytics
- Experimentation
- Event-based tracking data
- LLM/AI tooling
- Data storytelling
- Communication
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
- And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ
- *Perks and benefits listed above are for full-time employees and may vary slightly by office location. These are just a sample- you'll learn more during the interview process.
About SoSafe
SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. Cybercrime is costing the world >$10 trillion annually and growing by 15% p.a. - we invite you to be part of the solution!" At SoSafe, we’re on a mission to make the digital world safer by addressing the human factor in cybersecurity. As one of the fastest-growing security awareness scale-ups worldwide, we leverage behavioural science and data-driven learning to empower people against cyber threats. Our Human Risk Management approach helps organisations turn their employees into their strongest line of defence. Backed by leading VCs like Highland Europe and Global Founders Capital, we’re rapidly expanding across the globe. We’re looking for team players who want to drive meaningful change in cybersecurity, take ownership of their work, and grow with us. If you thrive in a vibrant, purpose-driven environment that values innovation, diversity, and collaboration, then this is the place for you!