Analyst, Data Operations

Responsibilities

• Represent the firm by establishing and cultivating professional relationships with external investment managers.
• Collaborate with external investment managers to incorporate new investment ideas into internal databases.
• Utilize expertise in investment data calculation methodologies such as TWR, IRR, and Modified Dietz for accurate data entry and comprehensive analysis.
• Utilize expertise in reviewing financial/legal documents such as balance sheets, statement of cashflows, factsheets, attribution exports, offering memorandums, limited partnership agreements, etc. to perform comprehensive analysis.
• Manage and update assigned portfolios of investment firms using internal databases and tools.
• Cook up with investment operations staff, client teams, and research departments to address and fulfill various requests.
• Independently investigate and resolve issues and exceptions by engaging with both internal and external stakeholders.
• Provide guidance, leadership, and oversight for outsourced data entry functions to ensure quality and accuracy.
• Leverage institutional knowledge to develop and deliver high-quality training and documentation.
• Proactively identify opportunities for process improvements, propose actionable solutions, and implement changes to minimize risks and errors while enhancing efficiency.
• Utilize Excel to analyze data, generate insights, and support decision-making processes.
• Partner with IT staff to research and resolve technical issues, ensuring seamless operations and data integrity.
• Work collaboratively with colleagues to deliver exceptional results and service on small projects and cross-functional teams.

Qualifications

• Bachelor’s degree (BA/BS) with 1-2 years of professional experience.
• Relevant professional experience in finance, operations, data management, data analysis, and/or process improvement.
• Exceptional verbal and written communication skills with the ability to communicate effectively at all levels.
• Excellent customer service orientation, with the ability to understand and meet the needs of clients and stakeholders, providing high-quality support and solutions.
• Prioritization and organization skills to efficiently manage tasks and meet deadlines.
• Strong sense of responsibility, accountability, attention to detail, and intellectual curiosity.
• Solid analytical and problem-solving skills.
• Intermediate to advanced Excel skills, including proficiency with formulas and functions (e.g., IF, AND, OR, NOT, VLOOKUP, HLOOKUP, INDEX-MATCH, AVERAGE, MEDIAN, MODE, STDEV, VAR), Conditional Formatting, Data Validation, Charts, and Pivot Tables.
• Experience with Box, Asana, and Confluence is a plus.
• Eligible to work in the U.S. without restriction or sponsorship now and in the future.