Data Analyst, Private Markets

Canoe Intelligence•Jacksonville, FL

2d•$70,000 - $110,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Exposure to SQL or data platforms is a bonus, but not required.

Responsibilities

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.
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.
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.
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.