Senior Data Analyst

WHO WE ARE

At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.

Our Ambition: To build the world's most disruptive payment network and redefine what the payment experience should feel like.

Trustly is a global team of innovators, collaborators, and doers.  If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that's transforming the way the world pays.

About the role

As Trustly's Senior Data Analyst for our next-generation consumer product (GoConsumer), you will build the analytical foundation for a 0→1, AI-powered financial app that helps everyday earners improve their financial health. 

You'll set up our metric framework, instrumentation, dashboards, and experimentation engine from scratch. You'll analyse millions of historical bank transactions, evaluate AI-coach conversations, shape how we measure behaviour change, and partner tightly with Product, Engineering, and Design to guide high-quality decisions. 

This role blends data analytics, data science, experimentation, and product thinking. You must be comfortable in a high-ambiguity, high-velocity environment where insights directly shape the MVP, core engagement loops, and long-term strategy.

Based in Lisbon (or willing to relocate).

You'll collaborate closely with: 

- The AI-focused Product Manager and Product Designer

- Staff Engineer and ML/AI engineering teams

- UX researchers

- Risk, Operations, and Trustly's broader data teams 

This is a deeply cross-functional role embedded in product development, experimentation, and AI-driven consumer experiences. You will functionally report into Trusty's head of product analytics but work day to day for the product leader mission inside the small mission driven 0-1 team.

What you'll do:

• Foundational Metrics & Instrumentation 
• Implement the early metric tree and evolve it over time
• Define tracking specs for all product surfaces: onboarding, AI coach, gamification loops, missions, challenges, notifications. 
• Build clean, reliable data pipelines in partnership with Engineering/ML.
• Set up analytics environments, dashboards, monitoring, and self-serve tools

Experimentation & Insights

• Establish AB testing framework for the new app, including experiment design, assignment, guardrails, power analysis, and interpretation. 
• Identify leading indicators of habit-building, engagement, and improved financial outcomes. 
• Run rapid analyses to support product decisions during MVP build and post-launch iterations. 

AI Coach Evaluation (Evals)

• Analyse conversational data to understand model-behaviour patterns, user intent, failure cases, and improvement opportunities. 
• Partner with PM/Design/ML to design quantitative and qualitative eval suites. 
• Measure tone, safety, clarity, task completion, and user satisfaction. 

Deep Transaction-Data Discovery

• Explore Trustly's extensive transaction history to uncover patterns in cashflow, income volatility, overdrafts, risky merchants, payday dynamics, and habit loops. 
• Identify opportunities for interventions that reduce financial stress and support behaviour change. 
• Work across massive datasets using Python, SQL, and notebook-driven workflows.

Advanced Analytics & Data Science

• Build prototypes for predictive signals (e.g., low-balance prediction, payday timing, early churn risk, mission success likelihood). 
• Use modern LLM and GenAI tooling to extend analysis speed, quality, and repeatability. 
• Deliver insights that influence product roadmap, coaching logic, and gamification design. 

Collaboration & Operating Model

• Work closely with Product, Engineering, and Design to translate insights into features. 
• Provide data-driven storytelling to leadership and cross-functional teams. 
• Uphold high analytical standards and promote an outcome-driven culture.

Who you are

• 6+ years of experience in data analytics, data science, or quantitative product analysis. 
• Strong command of SQL, Python, and analytical/statistical toolkits. 
• Experience working with large-scale datasets, ideally financial, consumer, or behavioural. 
• Experience in consumer product companies — preferably fintech, gamification, or both. 
• Practical experience running A/B tests, causal inference basics, experiment design, and interpreting noisy behavioural data. 
• Comfortable partnering with ML/AI teams and analysing conversational or model-driven interactions. 
• Degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative field (advanced degree strongly preferred). 
• Skilled at balancing speed with rigour; able to move fast in 0→1 environments while maintaining analytical integrity. 
• Outcome-based thinker who uses the newest available tools to supercharge analysis. 
• Excellent communicator who can simplify complexity for teams across Product, Engineering, Design, and Exec.

Our Fantastic Benefits (varies by location)

20 to 25 days of holiday to support a healthy work-life balance

Monthly team outing allowance to enjoy social events with your colleagues

Office perks such as refreshments (coffee, sodas etc.), breakfast, fruit and snacks

Meal card to enjoy a daily lunch allowance to make your workdays even more convenient

Well being support our health allowance covers gym memberships, massages, and much more to help you feel your best

PLUS additional benefits designed to enhance your work-life experience

Shape Your Role and Make an Impact

Join a dynamic environment where you can take ownership, drive change, and continuously embrace new challenges. We're looking for dedicated and highly motivated individuals who thrive in a fast-paced environment and enjoy collaborating across different areas of the organisation.

If your skills and experience align with this role, we'd love to hear from you Apply now and submit your CV in English.

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