Data Analyst, Private Markets

COMPANY: Canoe Intelligence

WEBSITE:

TITLE: Data Analyst, Private Markets

LOCATION: New York City (hybrid)

SALARY: $70,000 - $100,000 + Bonus


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-Functional Coordination: Work closely with Data, Product, and Engineering teams to communicate operational needs, contribute to product roadmap discussions, and flag issues that require systemic fixes.

Collaboration & Client Support:

• Manage Offshore Coordination: Support delivery through onshore and offshore team structures, ensuring work is executed accurately and on schedule.
• Client-Adjacent Support: Assist client-facing team members by preparing operational summaries and data quality reports that support client communications and onboarding.

What We're Looking For:

• Experience: 1+ years of experience in fund operations, fund administration, private market data, or a related financial services role. Internship experience in relevant fields will be considered.
• Domain Knowledge: Familiarity with private market data points including asset-level data (cost basis, valuations, operating metrics), capital calls, distributions, and fund financial statements.
• Operational Mindset: Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work setting and balance individual focus with team collaboration.
• Attention to Detail: You take accuracy seriously and understand that clean, reliable data is the foundation of everything we do.
• Communication Skills: Strong communication, presentation, and interpersonal skills with the ability to work effectively across teams and time zones.
• Comfort with Ambiguity: Comfortable navigating complex, fast-paced environments and uncovering answers to open-ended product and operational questions.
• Technical Comfort: Comfortable working with structured data in Excel or similar tools. Exposure to SQL or data platforms is a bonus, but not required.

What You'll Get:

• Medical, dental, vision benefits
• Flexible PTO
• 401(k)
• Flexible work from home policy
• Home office stipend + wifi reimbursement
• Employee Assistance Program
• Gym reimbursement
• Education assistance
• Parental Leave
• Commuter benefits

Our Values:

Client First -> Listen, and deliver client-centric solutions

Be An Owner -> Take initiative, improve situations, drive positive outcomes

Excellence -> Always set the highest standard for yourself and others

Win Together -> 1 + 1 = 3


Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.


Department Data Operations Locations New York City Remote status Hybrid