Staff Product Analyst

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Outubro 23

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Trustly

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Fintech • Finance • eCommerce

A Trustly é líder em soluções de Open Banking, oferecendo um portfólio coeso de produtos financeiros e de pagamentos projetados para modernizar os pagamentos, reduzir custos e mitigar riscos. A empresa foca em disponibilizar pagamentos seguros e de baixo custo e serviços financeiros sem fricção por meio de conectividade líder no setor, oferecendo serviços como payouts instantâneos, onboarding de clientes, avaliação de risco e verificação de conta em tempo real. A Trustly atende a diversos setores, incluindo billers (empresas de cobrança), e-commerce, serviços financeiros e gaming, aproveitando dados financeiros de alta qualidade validados por bancos para aprimorar a experiência do usuário. Suas soluções são adaptadas às necessidades de grandes empresas (enterprise), com o objetivo de aumentar as taxas de aprovação, minimizar os custos de processamento e prevenir o risco de fraude.

- funcionários

Fundada em 2008

💳 Fintech

💸 Finanças

🛍️ Comércio Eletrônico

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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!