Senior Data Analyst

WHO WE ARE

At Trustly, we’re on a mission to deliver a better way to pay and get paid. Consumers deserve a payment option that prioritizes financial responsibility, and merchants should have the independence to accept payments without unnecessary costs. This mission drives everything we do.

We’re revolutionizing the payments industry by making Pay by Bank the new standard at checkout, providing a smarter payment option to credit and debit cards. For merchants and consumers, this means the freedom to make and receive payments with greater security and ease.

Fueled by this purpose, we’ve grown into a global network connecting 9,000 merchants to 650 million consumers through 12,000 banks across 33 countries, processing over $58 billion annually. As the leader in Pay by Bank, we aim to redefine the payments experience by delivering exceptional products and unmatched value.

With regional offices in Vitória, Brazil and Silicon Valley, USA, and our global headquarters in Stockholm, Sweden, we are a diverse team that spans over 30 nationalities. Embracing a culture of innovation and collaboration, our 'work from anywhere' policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence, enabling flexibility while staying connected to our global team.

At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind.

Now is the perfect time to join us and help accomplish our mission. If you’re inspired by purpose, thrive in a fast-paced and entrepreneurial environment, and are ready to shape the future of payments, we’d love to hear from you!

About the team

The Advanced Analytics team leverages data to drive strategic decisions and unlock significant business value. Our mission is to go beyond traditional reporting, delivering actionable insights and recommendations through in-depth analysis and identification of growth opportunities. 

• 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.

• 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: 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.

• Experience in the financial services or open banking industry.
• Familiarity with programming languages relevant for data analysis (e.g. Python, R).

• 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.