Economic Data Analyst

Role Overview

• Integrate and organize data from multiple sources, ensuring structure, consistency, and reliability.
• Conduct exploratory analyses to identify patterns, trends, and business opportunities.
• Develop and maintain dashboards and reports to facilitate the monitoring of key indicators.
• Ensure data quality by correcting inconsistencies and proposing continuous improvements.
• Support analytical models by preparing datasets and contributing to validations.
• Communicate insights clearly, turning data into actionable recommendations.
• Contribute to digital transformation initiatives and the modernization of analytical workflows.
• Create standards, templates, and best practices to strengthen the team's analytical maturity.
• Work collaboratively with business teams and other ANBIMA areas to ensure the integrity of processed information.
• Collaborate on the integration of new data sources that can enrich the quality and depth of KPIs.
• Design automated monitoring routines, alerts, and controls for critical KPIs tailored to specific business needs.
• Work pragmatically and delivery-focused: maintaining focus, prioritization, and clear objectives for the area.
• Operate in a fast-moving environment with multiple concurrent demands and challenges.

Requirements

• Bachelor's degree in Economics, Data Science, Data Engineering, Mathematics, Statistics, or related fields.
• Experience in the financial and capital markets, with background in Asset Management and a focus on investment funds.
• Hands-on experience with fund industry processes, products, risks, and routines, including handling market indicators, economic data, and crafting storytelling to support analyses and decision-making.
• Expertise in Python for data manipulation and analysis, building automations, ETL flows, and supporting the development of statistical and analytical models.
• Experience with SQL for advanced queries and query performance optimization, as well as for integration, modeling, and governance of databases.
• Proven experience with Power BI and Tableau in building dashboards, defining strategic KPIs, visualization, and data storytelling. Advanced Excel skills, including macros (VBA), routine automation, cross-referencing datasets, and complex analyses.
• Hands-on experience handling large-scale data: organizing, cleaning, processing, and structuring high-volume datasets.
• Knowledge of Dataiku is desirable for work on analytical pipelines and automations.
• We seek a resilient and adaptable professional to operate in a fast-paced environment with multiple simultaneous demands and challenges.
• A versatile and flexible professional able to work in diverse contexts with dynamic requirements and varying degrees of complexity.
• Clear and objective communication skills are required to convey ideas effectively in both technical and business contexts.

Tech Stack

• ETL
• Python
• SQL
• Tableau
• VBA

Benefits

• Meal Allowance (BRL 1,177.00)
• Food Allowance (BRL 925.00)
• Health Insurance
• Dental Coverage
• Hybrid work model
• Life Insurance
• Private Pension
• Home Office Allowance
• Six months of parental leave for all ANBIMA employees
• Funeral Assistance
• Partnerships, birthday day off, and more...