Senior data analyst - asset management & market data (hybrid or remote))

SENIOR DATA ANALYST – ASSET MANAGEMENT & MARKET DATA (HYBRID OR REMOTE BRAZIL)

Brazilian company hires for hybrid or remote position

Location: Brazil — candidates from any region

⚠️ Only candidates already based in Brazil will be considered

Work Model: Hybrid for candidates living in state capitals and  Remote for candidates living in countryside/cities outside the state capitals

️ Language Requirements: English C2 — mandatory

Seniority: Senior (6+ years)

Sector: Financial Services

Compensation: Please inform your salary expectations when applying.

⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.

About the Opportunity

Join an international nearshore project supporting Asset Management, Wealth Management, and Market Data initiatives. You will turn financial, operational, and market data into reliable insights, ensuring information quality, consistency, and availability for critical business processes.

Work alongside investment, operations, technology, and business teams to develop analytical solutions and resolve data challenges.

Main Responsibilities

• Analyze, validate, and interpret financial, operational, and market data, supporting Asset and Wealth Management operations.
• Develop, maintain, and optimize complex SQL queries and reporting and analytics solutions.
• Monitor data quality across systems, perform validation and reconciliation, investigate discrepancies, and troubleshoot production data issues.
• Gather and document business requirements, translating them into analyses and reports that support decision-making.
• Document business rules, data flows, lineage, and reporting logic.
• Support financial, management, and regulatory reporting.
• Define and implement data quality controls and support Data Governance, ensuring traceability, integrity, and reliability.
• Contribute to data transformation and modernization projects, collaborating with global teams and sharing knowledge to improve analysis and reporting processes.

Mandatory Requirements

• Degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Economics, Finance, Business Administration, or a related quantitative field.
• English proficiency at C2 level, with strong international communication skills.
• Professional experience as a Data Analyst, Business Data Analyst, Market Data Analyst, Reporting Analyst, or in a similar role.
• Advanced SQL, including developing and optimizing complex queries.
• Experience with relational databases and large data volumes.
• Experience analyzing financial, operational, or market data.
• Knowledge of data validation and reconciliation, plus experience in Data Quality initiatives.
• Ability to investigate and resolve discrepancies across systems and data sources, including production troubleshooting.
• Experience with reporting, analytics, requirements gathering, and solutions for business users.
• Experience documenting business rules, data lineage, and reporting logic.
• Ability to collaborate with business, investment, operations, and technology teams.
• Strong analytical skills, attention to detail, organization, and commitment to quality.

Nice to Have

• Experience in Asset Management, Wealth Management, Market Data, Capital Markets, or Investment Banking.
• Knowledge of financial instruments, portfolios, investments, pricing, or benchmarks.
• Experience with Power BI or Tableau and financial, management, or regulatory reporting.
• Knowledge of Data Governance and Data Lineage.
• Experience with Snowflake, Databricks, and cloud environments, particularly AWS.
• Participation in data transformation and modernization initiatives.
• Certifications in Power BI, Tableau, AWS, Snowflake, or Databricks.
• CFA certification or relevant investment knowledge; FRM certification or financial risk knowledge.

Ideal Profile

An analytical professional who combines advanced SQL with a rigorous approach to data quality. You can investigate complex discrepancies, translate business needs into useful reporting, and communicate clearly with international stakeholders. You are comfortable taking ownership of data issues and contributing to reliable financial and operational decisions.

Questions for Candidates

1. What experience do you have analyzing financial, operational, or market data?
2. How have you developed and optimized complex SQL queries over large relational datasets?
3. Can you describe a data reconciliation or quality issue you investigated and resolved?
4. Have you supported production data troubleshooting and implemented data quality controls?
5. What experience do you have gathering requirements and documenting business rules, data lineage, and reporting logic?
6. Have you worked in Asset Management, Wealth Management, Market Data, or other investment-related environments?
7. Which reporting and data platforms have you used, including Power BI, Tableau, Snowflake, Databricks, or AWS? Do you hold relevant certifications?
8. Is your English at C2 level, and have you collaborated with global business and technical teams?
9. Where in Brazil are you based, and are you available for remote or hybrid work?
10. What are your current compensation, salary expectations, and availability to start?

CV Keywords — include only those that reflect your experience

Data Analysis, SQL, Data Quality, Data Validation, Data Reconciliation, Financial Data, Asset Management, Wealth Management, Market Data, Reporting, Analytics, Data Governance, Data Lineage, Requirements Gathering, Power BI, Tableau, Snowflake, Databricks, AWS, Capital Markets

#EY BR