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

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

IQVIA, Inc.

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Significant experience delivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations * Demonstrated expertise in designing and deploying ...

New

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes. The ideal ...

Tata Consultancy Services

AI ML Data Scientist

Cary, NC · On-site

They are seeking an AI ML Data Scientist with extensive experience in Data Science and Analytics, particularly in the Banking and Financial Services sector. Responsibilities : • Data Scientist with ...

SAS

Vice President of Data Analytics

Cary, NC · On-site

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into ...

NetApp

Principal Product Manager

Morrisville, NC

Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS/container platforms, GPU infrastructure, data/analytics (e.g., Databricks-style patterns on Azure), and core Azure ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Raleigh, NC

Ai Data Analytics information

See Raleigh, NC salary details

$23

$53

$91

How much do ai data analytics jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for ai data analytics in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance job security in these fields.

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

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

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

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists in a collaborative environment.
What are the most commonly searched types of Ai Data Analytics jobs in Raleigh, NC? The most popular types of Ai Data Analytics jobs in Raleigh, NC are:
What are popular job titles related to Ai Data Analytics jobs in Raleigh, NC? For Ai Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Ai Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Data Analytics jobs? Cities near Raleigh, NC with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you

Senior Data Analyst

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago

Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • Knowledge of data governance, data quality, and privacy best practices.
  • Prior experience in EV Charging, consumer behavior, technical quality analytics.

What Success Looks Like in This Role
  • You own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

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