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🍪 Privacy Notice This website uses cookies to improve your web experience. By using the site, you agree to the use of cookies. dismiss Staff Data Analyst Vitória, Espírito SantoData & Risk - Americas – Data Analytics - Americas /Full-Time /Remote APPLY FOR THIS JOB 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; Ext ... (truncated, view full listing at source)