Canoe Intelligence builds software for the alternative investments industry. Its SaaS platform uses machine learning and automation to collect, standardize, and manage investment data, helping institutional investors, asset servicers, capital allocators, and wealth managers handle operational workflows and reporting. The company develops B2B financial technology with distributed teams across New York, London, and Jacksonville.
Data Analyst, Asset Data — Canoe Intelligence
Support asset-level data quality and workflows for Canoe Intelligence’s alternative investment platform. Review and reconcile data, improve operations, and collaborate on automation and product delivery.
Сипаттама
- Process asset-level data, including cost basis, valuations, and operating metrics.
- Review automated results, investigate exceptions, and resolve or escalate anomalies.
- Reconcile extracted data with source documents and address conflicting information.
- Provide expertise on underlying asset data and support its manipulation and enrichment.
- Maintain output quality and standardize asset-level data across the platform.
- Apply best practices and quality checks to promote consistency across the team.
- Analyze data trends to guide product and service offerings and identify process improvements and automation opportunities.
- Spot technology and process improvements and help refine operating procedures.
- Record process notes, workflow rules, and exception-handling guidance.
- Work with Data, Product, and Engineering teams on operational needs and roadmap discussions.
- Help onshore and offshore teams deliver accurate work on schedule.
- Prepare operational summaries and asset data quality reports for client communications and onboarding.
Талаптар
- Bring at least four years of experience in fund operations, fund administration, private market data, or a related financial services role.
- Relevant internship experience may also be considered.
- Know asset-level data such as cost basis, valuations, operating metrics, capital calls, distributions, and fund financial statements.
- Work in an organized, process-focused way and manage tasks independently in a remote or hybrid setting.
- Pay close attention to detail and data accuracy.
- Communicate, present information, and work with others effectively.
- Collaborate across teams and time zones.
- Navigate complex, fast-moving work and open-ended product and operational questions.
- Work comfortably with structured data in Excel or similar tools.
- SQL or data platform experience is a plus, but not required.
Артықшылықтар
- Medical, dental, and vision coverage
- Flexible paid time off
- 401(k) plan
- Home office stipend
- Employee Assistance Program
- Gym and Wi-Fi reimbursement
- Education assistance
- Parental leave
- Bonus based on New York salary