-
Trustly

Staff Data Analyst

Trustly
Brazil · Full-time · Not Applicable

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 team:

The Risk Management & Data Science team leverages data to drive strategic decisions and unlock significant business value. The analytics mission within the team is to go beyond traditional reporting, delivering actionable insights and recommendations through in-depth analysis and identification of growth opportunities.


What you will do:
  • Lead complex analytical projects: Define problem statements, formulate hypotheses, and execute rigorous analysis to uncover key trends, patterns, and opportunities across various business functions
  • Develop strategic insights and recommendations: Translate complex data findings into clear, concise, and actionable recommendations for business stakeholders and leadership
  • Collaborate with business partners: Work closely with business leaders to understand their strategic priorities and identify areas where analytics can provide significant impact
  • Design and implement advanced analytical models: Utilize statistical techniques, machine learning concepts, and data mining methodologies to build predictive models, segmentation strategies and other advanced analytical solutions
  • Data Visualization: Effectively communicate analytical findings and recommendations through compelling presentations and insightful dashboards using Amazon QuickSight
  • 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 data analytics: A strong track record of delivering impactful insights and recommendations through data analytics techniques
  • Solid understanding of statistical methodologies: Experience applying statistical inference, regression analysis, hypothesis testing and other relevant techniques
  • Strong proficiency in SQL & other languages like Python: Ability to write complex queries to extract and manipulate data from various data sources
  • Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus
  • Excellent communication and presentation skills: Ability to effectively communicate complex analytical findings to both technical and non-technical audiences
  • Strong problem-solving and critical thinking skills: Ability to define problems, develop hypotheses, and interpret analytical results to drive business value
  • Business acumen: Ability to understand business objectives and translate them into analytical questions and solutions
  • Fluent English


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;
  • 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.


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.

Key Skills

Ranked by relevance

artificial intelligence data visualization machine learning data mining ai tools sql ai
Login to Apply
Posted
Dec 15, 2025
Type
Full-time
Level
Not Applicable
Location
Vitória
Company
Trustly

Industries

Financial Services

Categories

Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Sun Life
Related

Data Analyst

2026-05-26

Full-time
Not Applicable
Canada
Financial Services
Information Technology
View Job Details
Macquarie Group
Related

AI Engineer

2026-05-27

Full-time
Not Applicable
Australia
Financial Services
Engineering
View Job Details
Jobgether
Related

AI Research Engineer (Multi-Modal Reinforcement Learning)

2026-05-28

Full-time
Not Applicable
Belgium
Internet Marketplace Platforms
Engineering