Performance Market Data Analyst

Overview

• Collaborate with cross-functional teams to optimize performance reporting and analytics processes for strategic decision-making.
• Drive scalability and standardization of reporting frameworks across diverse financial strategies.
• Lead initiatives to automate complex processes and adapt to evolving business requirements.
• Provide actionable insights through detailed analysis to support senior management decisions.
• Design and implement robust data infrastructure in collaboration with technical teams.
• Respond to data inquiries with timely, accurate, and high-quality analysis for stakeholders.
• Contribute to a culture of innovation, continuous learning, and open communication.
• Engage in a fast-paced, dynamic environment with opportunities for professional growth.

Key Responsibilities & Duties

• Lead strategic initiatives to enhance data quality and governance practices.
• Develop and maintain advanced SQL queries for comprehensive financial data analysis.
• Collaborate with technical teams to implement scalable reporting solutions using Python and Power BI.
• Leverage advanced tools to automate data tasks and extract market insights.
• Translate complex quantitative findings into actionable insights for diverse stakeholders.
• Support portfolio managers with macroeconomic data analysis for strategic planning.
• Ensure adherence to best practices in documentation and validation of data processes.
• Promote cross-training and collaboration within a highly skilled team environment.

Job Requirements

• Bachelor’s degree in a relevant field with 4–6 years of experience in financial analytics.
• Proficiency in SQL, with experience in Python, Power BI, and Databricks preferred.
• Strong project management skills and ability to work collaboratively with technical teams.
• Experience with large-scale financial datasets and translating findings for stakeholders.
• Knowledge of data quality validation, governance, and documentation practices.
• Familiarity with leveraging advanced tools for data task automation and insights.
• CFA certification or willingness to pursue CFA is highly desirable.
• Excellent communication skills and adaptability in a dynamic, hybrid work environment.