Staff Product Data Analyst
Há 6 dias
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: 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. What you will 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.
- 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.
- 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.
- Bradesco health and dental plan, for you and your dependents, with no co-payment cost;
- Life insurance with differentiated coverage;
- Meal voucher and supermarket voucher;
- Home Office Allowance;
- Wellhub - Platform that gives access to spaces for physical activities and online classes;
- Trustly Club - Discount at educational institutions and partner stores;
- English Program - Online group classes with a private teacher;
- Extended maternity and paternity leave;
- Birthday Off;
- Flexible hours/Home Office - our culture is remote-first You can work in every city in Brazil;
- Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats Spoiler alert: Equipment can be purchased by you according to internal criteria;
- Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs and individual performance;
- Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that
#LIRemote
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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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