Senior Data Analyst – Asset Management, Market Data

• Work on an international nearshore project, supporting technology and operations initiatives related to Asset Management, Wealth Management, and Market Data
• Analyze, validate, and interpret financial, operational, and market data
• Support operations and technology initiatives related to Asset Management and Wealth Management
• Develop, maintain, and optimize complex SQL queries
• Create and enhance reporting and analytics solutions
• Monitor data quality and consistency across different systems
• Perform validation and reconciliation processes
• Identify discrepancies and investigate their root causes
• Support the resolution of data issues in production environments
• Work with business users, investment, operations, and technology teams
• Elicit, analyze, and document business requirements
• Translate requirements into analytical and reporting solutions
• Produce analyses and insights to support decision-making
• Document business rules, workflows, data lineage, and report logic
• Support financial, management, and regulatory reporting processes
• Contribute to the definition and implementation of data quality controls
• Support Data Governance initiatives
• Ensure the traceability, integrity, and reliability of information
• Participate in data transformation and modernization projects
• Collaborate with global and cross-functional teams
• Share knowledge and contribute to the continuous improvement of analysis and reporting processes

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Economics, Finance, Business Administration, or a related quantitative field
• Advanced English proficiency (C2), with the ability to communicate in an international environment
• Professional experience as a Data Analyst, Business Data Analyst, Market Data Analyst, Reporting Analyst, or in a similar role
• Advanced SQL knowledge and experience developing and optimizing complex queries
• Experience with relational databases and analyzing large volumes of data
• Experience analyzing financial, operational, or market data
• Knowledge of data validation and reconciliation processes
• Experience with Data Quality initiatives
• Ability to identify, investigate, and resolve discrepancies across systems and data sources
• Experience with reporting, analytics, and building solutions for business users
• Experience gathering and documenting requirements
• Ability to translate business needs into analyses, queries, and reports
• Experience documenting business rules, data lineage, and reporting logic
• Ability to work with business, investment, operations, and technology teams
• Experience troubleshooting data issues in production environments
• Strong analytical skills, attention to detail, organization, and a quality-oriented mindset

• Medical and dental coverage
• Childcare assistance
• EY benefits and exclusive discounts platform
• Education incentives
• Birthday day off
• Gympass/Wellhub
• Profit-sharing plan
• Private pension plan
• Meal and/or food and transportation vouchers
• Flexible work environment
• Future-focused skills and world-class experiences
• Diversity and equity programs and groups