Customer Success Analyst

About the Role

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.

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 & Tech Stack

• 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 of PE & VC environments.
• Strong knowledge of financial statement analysis.
• Proficiency in Microsoft Office tools (Excel, PowerPoint, Word).
• Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.

Qualifications

• Equity and Private credit valuation methodologies and approaches are highly desirable.