HVAC Installer at Yellowstone Local
Desc: Yellowstone Local is proud to represent Accutemp Heating and Air Conditioning, an industry leader in residential HVAC services.If you take pride in delivering clean, professional HVAC installations an...
| Position | Data Operations Analyst |
| Posted | 15 Apr 2026 |
| Expired | 15 May 2026 |
| Company | Canoe Intelligence |
| Location | United States | US |
| Job Type | Full Time |
Latest job information from Canoe Intelligence for the position of Data Operations Analyst. If the Data Operations Analyst vacancy in United States matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Canoe Intelligence for the position of Data Operations Analyst below matches your qualifications.
COMPANY: Canoe Intelligence
WEBSITE:
TITLE: Data Operations Analyst
LOCATION: Jacksonville or NYC Preferred or Remote
SALARY: $55,000 to $72,500 base salary + bonus and equity (based on NYC, will be adjusted for geo)
The Role:
Canoe is transforming how institutional investors manage alternative investment data. We automate document collection, data extraction, and delivery for the world’s leading allocators. As we scale, we continue to add to our operational engine—and we’re looking for high-performing operators to support that transformation.
Canoe is seeking a Data Operations Analyst to add to the team to drive our automated document collection process across investor portals and email inboxes. In this role, you are the critical entry point for all documents and data flowing into the Canoe ecosystem. You execute on the document collection process, helping to build the foundation for automated solutions that utilize Robotic Process Automation (RPA) and advanced agentic workflows.
This position is designed for a highly detail-oriented, fast-moving problem solver who thrives in a high-volume environment. You will execute daily document collection workflows, reconcile system outputs, and dive deep into GP reporting to build domain expertise. This is an incredible opportunity to learn the intricacies of alternative investments from the ground up through hands-on exposure to GP reporting, while actively helping build a smarter, more automated platform.
What You’ll Do:
What We’re Looking For:
What You’ll Get:
Our Values:
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.
After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Operations Analyst at the office United States above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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