Pessoa Analista de Dados Sênior - Prevenção à Lavagem de Dinheiro (PLD)

Team: Analyst

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Operate and continuously improve transaction monitoring processes for prevention of money laundering, ensuring efficient coverage throughout the monthly CPF verification cycle.
• Develop and maintain behavioral and volumetric PLD alert rules aligned with applicable regulations, including Central Bank and COAF requirements.
• Build low-cost process automations using Google Apps Script, n8n, or similar tools for Compliance, PLD, Tax, and related operational processes, prioritizing fast solutions that do not require dedicated engineering squads.
• Identify business challenges and opportunities that affect customers and internal teams by analyzing operational data, behavioral signals, and regulatory trends.
• Define relevant metrics and develop dashboards that enable teams to monitor critical aspects of compliance operations and transaction monitoring.
• Translate complex analyses into clear insights, explaining the rationale behind technical and risk-related decisions to business stakeholders.
• Document processes, methodologies, and solutions while transferring knowledge to non-technical teams to reduce operational dependency on individual contributors.
• Contribute to the strategic planning of the area by assessing team capacity, defining relevant metrics, and monitoring the value delivered by data and compliance initiatives.
• Collaborate with multiple teams, including Compliance, Tax, Customer Registration, Fraud, and other business areas, balancing competing priorities and identifying opportunities for improvement.

Requirements:

• Demonstrate advanced SQL skills for manipulating, querying, and exploring large volumes of data.
• Have practical experience with Python for complex data analysis, process automation, and data modeling.
• Possess hands-on knowledge of Databricks and experience working with data platforms and analytical workflows.
• Have experience automating processes with Google Apps Script, n8n, or equivalent automation tools.
• Demonstrate familiarity with data visualization platforms such as Metabase, Looker, Tableau, Power BI, or similar solutions.
• Be able to translate complex data findings into clear and compelling storytelling that supports business decisions without relying on overly complex presentations.
• Demonstrate strong analytical reasoning, comfort working with ambiguity, and the ability to formulate meaningful hypotheses from incomplete or imperfect datasets.
• Bring a proactive and autonomous mindset, with the ability to identify risks, operational gaps, and opportunities beyond the formal scope of the role.
• Be comfortable working across multiple teams and priorities simultaneously, particularly in environments involving Compliance, Tax, Customer Registration, Fraud, and related functions.
• A bachelor’s degree in Engineering, Business Administration, Mathematics, Economics, Technology, or a related field is considered an advantage.
• Knowledge of Data Architecture is desirable.
• Familiarity with projects involving Artificial Intelligence or AI Agents, whether in products or analytical environments, is a plus.

Benefits:

• 100% remote work, with flexibility to work from anywhere in Brazil.
• Flexible multi-benefit card covering categories such as meals, food, mobility, health, home office, culture, and education.
• Health insurance with no coparticipation.
• Online therapy and coaching support through Zenklub.
• Wellhub membership to support physical and mental well-being.
• Language-learning support through a partnership with Rosetta Stone.
• A dedicated day off to recharge.
• Online medical consultations through Conexa Saúde.
• Childcare assistance.
• Access to Alura for learning and professional development.
• Company-provided work equipment.
• Strong opportunities for professional growth in a growing technology environment.
• An inclusive and collaborative culture that welcomes diverse backgrounds and encourages continuous learning.