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Freelance Data Analyst Ai Jobs in Raleigh, NC (NOW HIRING)

Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ... VAST is seeking a Data Analyst, Customer Success to join our growing analytics team. The candidate ...

Senior AI FinOps Data Analyst

Raleigh, NC ยท On-site

$88.51 - $141.63/hr

The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance, and AI Engineering. This is not an administrative or passive reporting role; it requires an AI ...

Data Analyst II

Raleigh, NC ยท On-site

$85 - $110/hr

Familiarity with AI tools and their application in reporting, analytics, or process automation. * Proven ability to solve complex business problems through scalable reporting and data-driven ...

Senior FinOps Analyst - AI

Raleigh, NC ยท On-site

$104K - $174K/yr

Are you passionate about using data, analytics, and automation to drive smarter decisions at scale ... Our company has been a long-time leader in deploying AI and advanced technologies to the legal ...

New

Are you passionate about using data, analytics, and automation to drive smarter decisions at scale ... Our company has been a long-time leader in deploying AI and advanced technologies to the legal ...

New

Principal Data Analyst

Raleigh, NC ยท On-site +1

$125K - $180K/yr

Implement AI/ML-driven automation for enhanced data quality and standardization. * Consult data consumers, analysts and data scientists on navigating data sources and interpreting data definitions to ...

Principal Data Analyst

Raleigh, NC ยท On-site

$126 - $180/hr

Implement AI/ML-driven automation for enhanced data quality and standardization. * Consult data consumers, analysts and data scientists on navigating data sources and interpreting data definitions to ...

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements ... Proficiency in Python for scripting, data processing, and API integration; familiarity with ...

Business Systems Analyst - AI Automation

Durham, NC ยท On-site +1

$126K - $244K/yr

Advance Avalara's AI-first execution by identifying high-value transformation and agentic ... Using structured analysis and data to reduce ambiguity, automation failure points, and downstream ...

Using structured analysis and data to reduce ambiguity, automation failure points, and downstream ... Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI ...

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements ... Proficiency in Python for scripting, data processing, and API integration; familiarity with ...

Treasury Analyst - AI Trainer

Durham, NC ยท Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Treasury Analyst - AI Trainer

Cary, NC ยท Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Treasury Analyst - AI Trainer

Raleigh, NC ยท Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Freelance Data Analyst Ai information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do freelance data analyst ai jobs pay per year?

As of Aug 28, 2026, the average yearly pay for freelance data analyst ai in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a freelance data analyst ai?

Freelance Data Analyst AI professionals are independent experts who utilize artificial intelligence techniques to analyze and interpret complex data sets for various clients or organizations. They use tools like machine learning, data mining, and statistical analysis to extract valuable insights that help businesses make data-driven decisions. Unlike in-house analysts, freelancers work on a project-by-project basis, offering flexibility and specialized skills tailored to client needs.

What are the key skills and qualifications needed to thrive as a freelance data analyst ai?

To thrive as a Freelance Data Analyst AI, you need strong analytical skills, proficiency in statistics, and a solid understanding of data modeling and machine learning, often supported by a degree in a quantitative field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as knowledge of AI frameworks like TensorFlow or PyTorch, is essential. Excellent communication, problem-solving abilities, and self-motivation help you stand out when managing client projects independently. These skills and qualities are crucial for delivering accurate insights, meeting client needs, and staying competitive in a fast-evolving field.

How do freelance data analyst ai professionals typically manage client expectations and project timelines?

Freelance Data Analyst AI professionals often work with multiple clients simultaneously, making clear communication and expectation management vital. They usually start by defining project scopes, deliverables, and timelines in detail, often through contracts or statements of work. Regular updates and progress reports help maintain transparency and address any potential roadblocks early. Utilizing project management tools and setting realistic deadlines can also help freelancers balance workloads and ensure timely delivery while maintaining quality. This proactive approach not only builds trust but also increases the likelihood of repeat business and positive referrals.

What is the difference between Freelance Data Analyst Ai vs Freelance Data Scientist?

AspectFreelance Data Analyst AiFreelance Data Scientist
CredentialsTypically requires a degree in data analysis, statistics, or related fields; certifications like Microsoft Certified Data Analyst are commonOften requires advanced degrees (Master's or PhD) in data science, statistics, or related areas; certifications like Certified Data Scientist are beneficial
Work EnvironmentFreelance projects often involve data cleaning, visualization, and basic modeling for clients across industriesFreelance roles focus on complex modeling, machine learning, and predictive analytics for diverse sectors
Industry UsageUsed across finance, marketing, healthcare, and e-commerce for data reporting and insightsApplied in AI development, predictive modeling, and advanced analytics in tech, finance, and research

While both roles involve data analysis, Freelance Data Analyst Ai primarily focuses on data visualization and reporting, whereas Freelance Data Scientist handles complex modeling and machine learning. The choice depends on your expertise and project needs.

Is it possible to be a freelance data analyst?

Yes, it is possible to work as a freelance data analyst, as many professionals offer their services independently. Freelance data analysts typically need strong skills in data analysis tools like Excel, SQL, or Python, and may use platforms such as Upwork or Freelancer to find clients. Success depends on building a portfolio, establishing a reliable client base, and maintaining up-to-date technical knowledge.

Is it worth becoming a freelance data analyst with AI?

Becoming a freelance data analyst with AI skills can be valuable as demand for data-driven insights grows across industries. Proficiency in tools like Python, R, and machine learning, along with strong analytical abilities, can enhance job prospects and earning potential in the freelance market.

What are the most commonly searched types of Data Analyst Ai jobs in Raleigh, NC?

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For Freelance Data Analyst Ai jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Freelance Data Analyst Ai jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Freelance Data Analyst Ai jobs?

Cities near Raleigh, NC with the most Freelance Data Analyst Ai job openings:

Infographic showing various Freelance Data Analyst Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Data Analyst, Customer Success

Raleigh, NC โ€ข On-site, Remote

VAST Data
Software Developmentย โ€ขย 201 - 500 employees

Full-time

Posted 7 days ago


Job description

Description
VAST Data is looking for a Data Analyst, Customer Success to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
VAST is seeking a Data Analyst, Customer Success to join our growing analytics team. The candidate will roll up their sleeves and work hands-on to build analytics and dashboard visualizations that deliver actionable insights on core customer success metrics. The role will partner closely with stakeholders in the Customer Success organization to develop analytical solutions that improve VAST's reporting systems, data quality, and processes for metrics such as Time to Response, Time to Resolution, Customer Satisfaction, NPS, and Feature Adoption.
As a Data Analyst, Customer Success, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Data Analyst will be part of teams that build and deliver accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
The analyst will focus on defined questions, creating standard reports and dashboards. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst with intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
Essential Duties and Responsibilities
  • Data Extraction and Modeling: Write SQL queries to extract and transform customer success data, ensuring data integrity and accuracy for reporting and analysis purposes
  • Business Understanding: Proactively seek guidance from senior analysts and stakeholders to build deeper understanding of Customer Success processes and metrics
  • Data Analysis: Collect, clean, and interpret data from various sources to provide actionable insights that support Customer Success objectives
  • Reporting: Develop ad-hoc reports and analytics packages for regular business reviews. Build and maintain reports in Tableau
  • Data Visualization: Develop and maintain Tableau visualizations to represent metrics, trends, and performance
  • Insights: Deliver analytics that answer key business questions and drive value and improved outcomes for Customer Success stakeholders
  • Data Management: Support efforts that improve the accuracy of reporting data. Identify data quality gaps, help improve the integrity of source data, and maintain documentation and data definitions for financial metrics. Escalate complex data issues as needed
  • AI-Enabled Efficiency: Use tools such as Cursor and Claude to speed up SQL development, documentation, and testing, and to reduce manual, repetitive analytics work
  • Process & Policy: Track and manage analytics work in Jira. Work cross-functionally to streamline data processes, troubleshoot issues, and collaborate to improve data across systems

Requirements
  • Education: Bachelor's degree in Business Analytics, Business, Computer Science, Data Science, or a related field
  • Experience: 3-5 years of experience as a data analyst; Customer Success experience preferred
  • Programming Languages: Proficient in SQL for data extraction and manipulation
  • Visualization Tools: Experience with Tableau for dashboard creation and data visualization
  • AI Tools: Some experience using AI-assisted coding and analysis tools (e.g., Cursor, Claude) to improve speed and quality of work
  • Data Visualization and Analytics: Strong analytical, problem-solving, and critical thinking skills. Proficient in BI tools like Tableau.
  • Domain Expertise: Familiar with Customer Success workflows, KPIs, and operational lifecycles of a software company preferred but not required
  • Project Tracking: Comfortable working in Jira to manage and track analytics tasks
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines while prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.