Data Analyst, Private Markets

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Analyst, Private Markets

LOCATION: New York City (hybrid) or Jacksonville, FL (hybrid)

SALARY: $70,000 - $110,000 + Bonus and Equity (based on New York, will be adjusted for geo)

The Role:

You are an emerging operations professional eager to grow your career at the intersection of private markets and cutting-edge AI. As a member of our Canoe Data Operations Team, you will apply your expertise in private market data to build, define, and execute on our product and service offering—while supporting day-to-day operations, ensuring data quality, and tackling the operational complexity of the private markets ecosystem.

You will work alongside senior team members to manage delivery through our onshore and offshore teams, contribute to the accuracy and efficiency of our platform, and partner closely with Product Managers to help shape the future product roadmap. This is an exciting opportunity to own core functionality and drive meaningful improvements across service delivery and ongoing operations.

What You'll Do:

Operational Support & Workflow Management:

• Support Document Processing Workflows: Assist in the intake, review, and processing of LP documents (Capital Account Statements, PCAPs, Call/Distribution Notices), ensuring they move through the pipeline accurately and on time.

• Monitor & Triage Exceptions: Review automated outputs, identify processing exceptions or anomalies, and escalate or resolve issues in coordination with senior operations staff.

• Deliver Quality: Reconcile extraction data against source documents, manage conflicting data points, and maintain high standards across all client deliverables.

Subject Matter Expertise & Data Quality:

• Be an SME: Become a go-to individual within Canoe for private market data points—including underlying asset data such as cost basis, valuations, and operating metrics—and support the manipulation and enrichment of such data.

• Advocate for Standards: Champion best practices, perform quality checks, and drive consistency across the team to foster a culture of excellence.

• Derive Insights: Perform analysis on data trends to inform our product and service offering, and flag patterns that can inform process improvements or automation opportunities.

Process Improvement & Product Development:

• Continuous Improvement: Identify technology and process improvements to efficiently and effectively process data, and assist in refining operating procedures.

• Document Operational Logic: Help capture and organize process notes, workflow rules, and exception-handling procedures to be shared across operations and product teams.

• Cross-Functiona