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

JobgetherFinancial Compliance

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Required Skills: PythonSQLData AnalysisMicrosoft Power BITableauDatabricksLooker

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.
Demonstrate strong analytical reasoning, comfort working with ambiguity, and the ability to formulate meaningful hypotheses.
Bring a proactive and autonomous mindset to identify risks, operational gaps, and opportunities.
Be comfortable working across multiple teams and priorities simultaneously, particularly in Compliance, Tax, Customer Registration, and Fraud.
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 is a plus.

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.
Identify business challenges and opportunities 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.
Translate complex analyses into clear insights for business stakeholders.
Document processes, methodologies, and solutions while transferring knowledge to non-technical teams.
Contribute to the strategic planning of the area by assessing team capacity and monitoring the value delivered by data and compliance initiatives.
Collaborate with multiple teams, including Compliance, Tax, Customer Registration, and Fraud.

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