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

VAST Data

Data Analyst, Customer Success

Raleigh, NC · On-site +1

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 ...

Segment (Twilio)

Senior AI FinOps Data Analyst

Raleigh, NC · 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 ...

Gravity IT Resources

Data Analyst II

Raleigh, NC · 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 ...

RELX

Senior FinOps Analyst - AI

Raleigh, NC · 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

LexisNexis

Senior FinOps Analyst - AI

Raleigh, NC · 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

Redhat

Principal Data Analyst

Raleigh, NC · 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 ...

Red Hat, Inc.

Principal Data Analyst

Raleigh, NC · 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 ...

CREO

Senior Analyst- AI Engineer

Durham, NC · On-site +1

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 ...

Bitovi

Business Systems Analyst - AI Automation

Durham, NC · 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 ...

CREO

Senior Analyst- AI Engineer

Durham, NC · Remote

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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Durham, NC · 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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Cary, NC · 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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Raleigh, NC · 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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All JobsData Analyst Ai JobsData Analyst Ai Jobs in Raleigh, NC

Data Analyst Ai information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do data analyst ai jobs pay per year?

As of Aug 28, 2026, the average yearly pay for 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 data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

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

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

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

The most popular types of Data Analyst Ai jobs in Raleigh, NC are:

What are popular job titles related to Data Analyst Ai jobs in Raleigh, NC?

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

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

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

Data Analyst Ai jobs near you
Infographic showing various 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 • On-site, Remote

VAST Data
Software Development • 201 - 500 employees
Learn more about VAST Dataexternal

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.

Apply