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Internship Remote Data Analyst Jobs in Florida (NOW HIRING)

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

Experience with marketing analytics, CRM/automation data, web analytics, and privacy-aware measurement practices This is a remote role with up to 20% travel. This role is not eligible for sponsorship.

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... The Data Analyst Senior will leverage Appian's analytics and reporting capabilities to provide ...

The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the ...

Remote Job Type: Contract Job Summary: We are looking for an experienced Business Analyst to drive ... Data Analysis & Reporting: Gather, interpret, and visualize data to provide insights for strategic ...

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Internship Remote Data Analyst information

What types of projects can a remote data analyst intern typically expect to work on, and how is support provided when working remotely?

As a remote data analyst intern, you can expect to work on projects like cleaning and organizing datasets, conducting exploratory data analysis, creating visualizations, and assisting with building statistical models or dashboards. Since you are working remotely, communication and mentorship are often facilitated through regular virtual meetings, shared documentation, and collaboration tools such as Slack or Microsoft Teams. Supervisors and team members will typically provide guidance through scheduled check-ins and feedback sessions, ensuring you have the support needed to progress and learn. This structure helps interns develop both technical and communication skills essential for data-driven roles.

What is a remote data analyst internship?

A remote data analyst internship is a temporary position where interns work from a location of their choice, typically from home, to support an organization's data analysis needs. Interns in this role collect, process, and analyze data to help inform business decisions. They may use tools like Excel, SQL, or Python to organize data, create reports, and present findings. The internship provides practical experience and helps build skills that are valuable for a career in data analysis.

What are the key skills and qualifications needed to thrive as an Internship Remote Data Analyst, and why are they important?

To thrive as an Internship Remote Data Analyst, you need a solid understanding of data analysis, statistics, and proficiency in tools like Excel, Python, or R, often supported by coursework in data science or related fields. Familiarity with data visualization platforms such as Tableau or Power BI and experience with SQL databases are typically expected. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and sharing insights remotely. These abilities ensure accurate analysis, clear reporting, and effective collaboration in a virtual work environment.
What are the most commonly searched types of Remote Data Analyst jobs in Florida? The most popular types of Remote Data Analyst jobs in Florida are:
What are popular job titles related to Internship Remote Data Analyst jobs in Florida? For Internship Remote Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Internship Remote Data Analyst jobs in Florida look for? The top searched job categories for Internship Remote Data Analyst jobs in Florida are:
What cities in Florida are hiring for Internship Remote Data Analyst jobs? Cities in Florida with the most Internship Remote Data Analyst job openings:
Infographic showing various Internship Remote Data Analyst job openings in Florida as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst, Private Markets

Canoe Intelligence

Jacksonville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Analyst, Private Markets

LOCATION: New York City or Jacksonville (Hybrid)

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

The Role:

You are an operations professional eager to grow your career at the intersection of private markets and cutting-edge AI. As a member of our Asset Data Team, you will apply your expertise in private market asset 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 team members to manage delivery through our onshore and offshore teams, contribute to the accuracy and efficiency of our platform, and partner closely with Asset Data leadership and Product Managers to help shape the future product roadmap. This is an exciting opportunity to develop deep subject matter expertise in underlying asset data, own core functionality, and drive meaningful improvements across service delivery and ongoing operations.

What You’ll Do:

Operational Support & Workflow Management:

  • Support Asset Data Processing Workflows: Assist in the intake, review, and processing of asset-level data—including cost basis, valuations, and operating metrics—ensuring data moves 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: Be the go-to individual within Canoe's Asset Data team for underlying asset data points—including cost basis, valuations, and operating metrics—and support the manipulation and enrichment of such data.

  • Own Quality: Take charge of ensuring the highest standard of output for our asset data product offering, including standardizing asset-level data points across the platform.

  • 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 asset 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 asset data 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 asset data work is executed accurately and on schedule.

  • Client-Adjacent Support: Assist client-facing team members by preparing operational summaries and asset data quality reports that support client communications and onboarding.

What We’re Looking For:

  • Experience: 4+ 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: Strong familiarity with asset-level data points including, but not limited to, cost basis, valuations, and operating metrics, as well as 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

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

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.