Data Analyst

Overview

• Collaborate with researchers, analysts, and operations teams to optimize data solutions and drive innovation.
• Organize and simplify large datasets to enhance data quality and reliability.
• Identify opportunities for data tooling improvements and innovative data applications.
• Work in a hybrid environment with three days onsite and remote flexibility.
• Engage in a fast-paced setting requiring high attention to detail and polished communication.
• Support firm-wide investment management decisions through analytics and portfolio tools.
• Contribute to a collaborative, entrepreneurial, and innovative work culture.

Key Responsibilities & Duties

• Develop analytics outputs and decision tools for portfolio management and research teams.
• Participate in data modernization activities for firm-wide projects.
• Automate data collection, input, and reporting tasks for diverse investment data.
• Generate portfolio review presentations and manage reporting workflows.
• Crosstrain with portfolio management, accounting, trading, and reporting teams.
• Document processes and workflows to improve team efficiency.
• Deliver data visualization and reporting using enterprise tools like Tableau or Power-BI.

Job Requirements

• Bachelor of Science degree in a relevant field.
• Minimum of 1 year experience in investment management, financial services, or fintech.
• Proficiency in Python for data automation and ETL processes.
• Experience with *nix, Bash, and SQL databases.
• Strong quantitative, mathematical, and problem-solving skills.
• Ability to work autonomously with a high sense of accountability.
• Preferred experience with data visualization tools like Tableau or Power-BI.
• Excellent communication skills to engage with diverse stakeholders.
• Ethical and credible professional demeanor.