Customer Success Analyst

Job description

OVERVIEW OF 73 STRINGS: 73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The company's AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit. Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures. Key Responsibilities: Work with teams across Implementation, Customer Success, Customer Support, Product team and Pre-sales to ensure seamless delivery of client solutions. Assist in onboarding and deploying the AI-powered monitoring and valuation platform for PE, VC, and Credit clients. Oversee data ingestion, transformation, and validation workflows using 73 Strings’ proprietary tools Collaborate with clients to ensure successful implementation, understanding their specific requirements and configuring the platform accordingly. Support the integration of client data and work with technical teams to ensure smooth system setup and configuration. Support the Product team by providing feedback from clients and assisting in the development of new features or improvements. Lead and manage end-to-end data operations for client engagements. Define and monitor KPIs for data quality, turnaround time, and service reliability. Drive automation and process improvements to enhance operational efficiency. Ensure compliance with data governance, security, and privacy standards Assist in the development of best practices, tools, and resources for client engagement and internal processes. Continuously develop knowledge of the financial industry, particularly in the context of PE/VC/Credit clients and AI-based solutions. Requirements : 0-2 years of experience Strong communication and interpersonal skills, with the ability to interact effectively with both technical and non-technical stakeholders. Analytical mindset with the ability to identify trends and insights from data. Problem-solving skills and the ability to learn quickly in a fast-paced, dynamic environment. General Understanding PE & VC environments and strong knowledge on financial statement analysis Equity and Private credit valuation methodologies and approaches are highly desirable. Proficiency in Microsoft Office tools (Excel, PowerPoint, Word); knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.