Senior Analyst

Trustly; New York (NY); On-site; USD 85,000 - 100,000; Full time

Benefits offered by this job

Wellness stipend

Global exposure

Job summary

Trustly, a global Open Banking Payments leader, seeks a highly analytical Product Analyst to deepen data capabilities and shape the future of our payment products. You will bridge complex data infrastructure and product strategy through advanced analytics, modeling, and robust experimentation.

You will partner with EU and US teams to define KPIs, build ML models for fraud detection and segmentation, and develop dashboards that reveal real-time product health and user behavior.

Qualifications

• 5+ years of experience as a Product Analyst, Data Scientist, or similar role in FinTech/SaaS.
• Expert proficiency in SQL for complex data manipulation and analysis.
• Experience in data modeling (Kimball or relational) and using dbt.
• Strong skills in designing and analyzing experiments (A/B) with statistical inference.
• Hands-on experience building ML models (classification, clustering) using Python/R and scikit-learn.
• Ability to translate technical insights into clear, strategic business recommendations for non-technical audiences.
• Experience with BI tools like Looker/Tableau/Power BI for dashboards.
• Familiarity with LLM agents and agentic analytics tools is a plus.

Responsibilities

• Design, implement, and analyze A/B and multivariate tests to optimize product features and drive conversion.
• Develop and maintain scalable data models in the data warehouse (dbt) for core metrics.
• Build and deploy machine learning classification models to enhance product quality.
• Partner with Product Managers to define KPIs and measure impact of launches.
• Conduct deep-dive analyses and translate findings into actionable recommendations.
• Create and maintain automated dashboards and reports for real-time product visibility.
• Collaborate with Data Engineering to ensure data quality and proper tracking for new features.
• Educate stakeholders on data interpretation and experimentation best practices.
• Leverage agentic analytics workflows to accelerate reporting across product lines.

Skills

SQL

Data modeling

A/B testing

Python

R

BI tools

Tools

dbt

Looker

Tableau

Power BI

Job description

About Trustly

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.

About Trustly

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 Global Product Analytics Team

The Global Product Analytics team works closely with our Product, Technology, Design, and Marketing teams to drive product strategy and optimization across Trustly's entire open banking payment platform. We empower stakeholders in the EU and US with data-driven insights, focusing on optimizing the current product, launching new features, and identifying future market opportunities. Our work directly impacts business outcomes by ensuring the highest level of trust and performance in our services.

About The Role

We are looking for a highly analytical and technically skilled Product Analyst to join our growing global team. This crucial role will be key in deepening our data capabilities, focusing on advanced analytics to shape the future of our payment products. The ideal candidate will bridge the gap between complex data infrastructure and actionable product strategy through expert data modeling, robust experimentation, and the development of machine learning classification models. You will be essential in scaling our analytical rigor as we expand to serve global product stakeholders.

What You'll Do

• Design, implement, and analyze A/B and multivariate tests to optimize product features and drive conversion across both EU and US markets.
• Develop and maintain scalable data models within our data warehouse (e.g., dbt) to create single sources of truth for core product metrics.
• Build and deploy machine learning classification models (e.g., fraud detection, user segmentation) to enhance product quality and performance.
• Partner with Product Managers in the EU and US to define KPIs, prioritize features, and measure the impact of product launches.
• Conduct deep-dive analyses on complex product areas, translating findings into clear, persuasive recommendations for product improvements.
• Create and maintain automated dashboards and reports that provide real-time visibility into product health and user behavior.
• Collaborate with Data Engineering to ensure data quality, accessibility, and the implementation of proper tracking for new features.
• Educate and mentor product and business stakeholders on data interpretation and experimentation best practices.
• Leverage LLM agents and agentic analytics workflows to automate exploratory analysis, surface insights, and accelerate reporting across product lines.

Who You Are

• 5+ years of experience as a Product Analyst, Data Scientist, or similar role, preferably in a FinTech or B2C/B2B SaaS environment.
• Expert proficiency in SQL for complex data manipulation and analysis is essential.
• Demonstrated experience in data modeling principles (e.g., Kimball, relational modeling) and using tools like dbt.
• Strong practical knowledge of designing and analyzing experiments (A/B testing) with a solid grasp of statistical inference.
• Hands‑on experience building and deploying machine learning models (e.g., classification, clustering) using Python/R and relevant libraries (e.g., scikit‑learn).
• Excellent ability to translate technical insights into clear, strategic business recommendations for non‑technical audiences.
• Proven capacity to thrive in a fast‑paced, global environment, managing competing priorities across different time zones (EU and US).
• Experience with BI tools like Looker, Tableau, or Power BI for dashboard development.
• Familiarity with LLM agents and agentic analytics tools (e.g., for automated data exploration, natural‑language querying, or workflow orchestration) is a plus.

Closing statement

At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

Compensation Range: $85K - $100K