WHO WE AREAt 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 team
The Analytics team leverages data to drive decisions and unlock significant business value. Our mission is to deliver first-class data products, going beyond traditional reporting.
What you’ll do:
- Data Architecture and Modeling: Design, develop, and maintain scalable and robust data models to support reporting, business intelligence, and data analytics.
- Data Visualization: Develop and maintain insightful dashboards using Amazon QuickSight.
- Optimization and Automation: Identify and implement opportunities to improve efficiency, performance, and accuracy of current processes.
- Collaboration: Work closely with stakeholders to gather their business requirements and translate them into scalable data solutions.
- Data Quality and Governance: Establish and enforce best practices for data quality, documentation, and governance.
- Drive data literacy and adoption: Champion a data-driven culture within the organization by sharing knowledge, best practices, and promoting the use of data in decision-making.
Who you are:
- Proven experience in a similar role: A strong track record in a data-focused role such as BI Engineer, Analytics Engineer, and/or Data Engineer, preferably in fintech.
- Strong proficiency in SQL: Expertise in SQL is essential for data querying, modeling, and transformation.
- Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus.
- Programming: Python/PySpark for data manipulation and pipeline development.
- Soft Skills: Excellent communication and collaboration skills are a must, as you’ll be working with a diverse range of technical and non-technical stakeholders.
- Fluent English: You’ll work with a Global team.
Our perks and benefits:
- 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;
- Team 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!
Check out our Glassdoor or our Brazil Life page on Linkedin for more details about Brazil, our culture, and much more.
#LI-Remote#LI-CHERRYNE-TRUSTLY
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.
