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# Associate Data Research Analyst

- **Company:** Morningstar
- **Location:** Madrid, Spain
- **Salary:** €29,000.0 - €39,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Databases, Data Governance, Extract Transform Load (ETL), Data Mining, SQL Databases, Data Delivery
- **Published:** May 13, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=536bfdd8a2848f71

## About the Role

Do you have experience in SQL?, * 2+ years of experience in financial data analysis, preferably within mutual funds, ETFs, or portfolio operations.

 * Proficiency in SQL and Excel for data querying, transformation, and analysis.
 * Understanding of portfolio performance concepts (time-weighted returns, money-weighted returns), NAV, and dividend mechanics.
 * Experience with data quality frameworks, anomaly detection, and root cause analysis.
 * Knowledge of investment fund structures, pricing policies, and regulatory reporting requirements.
 * Good communication skills, with the ability to translate complex data issues for non-technical stakeholders.
 * Detail-oriented with strong analytical and problem-solving capabilities.

## Description

As an Associate Data Analyst within Morningstar's Performance & Portfolio Operations team, you will play a pivotal role in ensuring the accuracy, completeness, and timeliness of investment performance data and portfolio information. You will work cross-functionally with data research teams, operations, and client service groups to maintain high data quality standards for thousands of funds and portfolios globally., * Analyze performance calculations and methodologies to ensure compliance with industry standards.

 * Manage escalations and troubleshoot data anomalies in collaboration with data providers and internal teams.
 * Develop and maintain automated validations, reports, and analytical tools to improve data workflows.
 * Partner with IT and database teams to optimize data extraction, transformation, and loading (ETL) processes.
 * Provide mentorship and guidance to junior analysts and contribute to team knowledge sharing and training.
 * Support month-end and quarter-end close cycles for performance data delivery and audit processes.
 * Collaborate with product managers and client-facing teams to ensure timely communication around data issues and enhancements.
 * Participate in continuous process improvement initiatives using methodologies like Lean Six Sigma.


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