Data Extraction Analyst

The private capital market hosts $14 trillion of investment that funds massive innovation around the world; yet much of it still operates on manual processes and fragmented legacy systems. Think of the New York City subway system running on analog machines!

Anduin’s mission is to revolutionize investing in the alts and empower LP-GP relationships by building better workflows, data processes, and technology integrations. Our award-winning products, Fund Subscription, Data Room, and Investor Access, have raised almost $102 billion in capital across 40,000+ investors for venture capital, private equity, and hedge funds. In 2023, nearly 5% of all global capital raised was through Anduin, and we’re just getting started!

Since our founding in 2014, we’ve brought together deep private market expertise with leading technologists. Our world-class team has grown to over 140+ talented individuals across Asia, Canada, Europe, and the US all focused on transforming private market transactions.

We are looking for a Data Extraction Analyst with strong attention to detail to join our fast-paced team. The successful Data Extraction Analyst will have positive attitude, and be committed to maintaining data accuracy and meeting deadlines.

Job Responsibilities:

• Data Management: Review and verify data accurately.
• Reporting: Generate reports based on client requests.
• Tooling Feedback: Provide constructive feedback for improving tools and processes.
• Self-Management: Manage your working hours, including availability to work on Saturdays as clients need.
• Client Communication: As you grow in the role, engage with clients effectively and professionally.
• Scope Expansion: Take on additional responsibilities with good performance and managerial approval.

Job Qualifications:

• Education: Recent graduates or soon-to-be graduates; no specific background required.
• Language: Proficient in English.
• Communication: Strong verbal and written communication skills; proactive in addressing and resolving challenges.
• Attention to Detail: Meticulous in reviewing and verifying data.
• Adaptability: Willing to learn and grow from monotonous tasks.
• Responsibility: Highly responsible and dedicated to delivering quality work, taking accountability for assigned tasks.
• Excel sufficiency

Last updated on Aug 27, 2024