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Ai Data Analytics Jobs (NOW HIRING)

United IT Solutions

AI Data Architect

Bay Village, OH · On-site

$59 - $76/hr

AI Data Architect Cleveland, OH (Onsite) Fulltime Must Have Technical/Functional Skills Must Have Experience : • 10+ years in data / analytics architecture, with strong manufacturing or industrial ...

Burlington

AI Data Scientist

Edgewater Park, NJ · On-site

$80K - $105K/yr

Mine and analyze structured and unstructured data from the data warehouse * Support prompt engineering and optimization for large language models (LLMs) * Integrate AI services via APIs and cloud AI ...

NICE

AI Data Specialist

Atlanta, GA · On-site

... AI's data solutions ... In this capacity, you will act as an Interaction Analytics data expert who understands key data ...

NICE

AI Data Specialist

Atlanta, GA · On-site

... AI's data solutions ... In this capacity, you will act as an Interaction Analytics data expert who understands key data ...

Burlington Stores

AI Data Scientist

Beverly, NJ · On-site

Mine and analyze structured and unstructured data from the data warehouse * Support prompt engineering and optimization for large language models (LLMs) * Integrate AI services via APIs and cloud AI ...

Duke University

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

Carlyle

AI & Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

The AI & Data Architect will ensure that enterprise data is trusted, well-governed, context-rich, and readily usable by analysts, applications, LLMs, agents, generative AI products, and analytical ...

Carlyle Group

AI & Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

The AI & Data Architect will ensure that enterprise data is trusted, well-governed, context-rich, and readily usable by analysts, applications, LLMs, agents, generative AI products, and analytical ...

Signet Jewelers Ltd.

AI Data Engineer (Hybrid)

Irving, TX · On-site

$109K - $132K/yr

AI Data Analytics Engineer Location: Dallas, TX or Akron, OH (Hybrid) POSITION SUMMARY : We are seeking a highly skilled AI Data Analytics Engineer to design, develop, and support enterprise ...

Carlyle

AI & Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

The AI & Data Architect will ensure that enterprise data is trusted, well-governed, context-rich, and readily usable by analysts, applications, LLMs, agents, generative AI products, and analytical ...

Signet Jewelers Ltd.

AI Data Engineer (Hybrid)

Irving, TX · Hybrid

$109K - $132K/yr

AI Data Analytics Engineer Location: Dallas, TX or Akron, OH (Hybrid) POSITION SUMMARY : We are seeking a highly skilled AI Data Analytics Engineer to design, develop, and support enterprise ...

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Ai Data Analytics information

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$24

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$94

How much do ai data analytics jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for ai data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How much does an AI data analyst make?

The average salary for an AI data analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data modeling, machine learning, and tools like Python or R tend to earn higher salaries.

Which 3 jobs will survive AI?

AI Data Analysts, data scientists, and machine learning engineers are likely to continue thriving as their roles involve complex analysis, model development, and interpretation that require human expertise. These jobs demand skills in statistics, programming, and critical thinking, making them less susceptible to automation. Continuous learning and proficiency with AI tools are essential for long-term 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and sometimes equity or performance-based bonuses. These positions are usually found in large tech companies or organizations investing heavily in AI development and may involve leadership, strategic planning, and specialized technical expertise.

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 with AI models to improve data-driven solutions. Strong analytical skills and knowledge of data visualization are essential in this role.
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Ai Data Analytics jobs near you
AI & Data Analytics Co-op/Intern

AI & Data Analytics Co-op/Intern

Amot Controls Corporation

Houston, TX • On-site

Full-time

Posted 21 days ago

Job description

Position Type: Co-op / Internship (Graduate-level, semester or summer term)
Location: [On-site - Houston]
Duration & Schedule: 10-12 week summer internship OR 4-8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).
Key Responsibilities:
  • Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
  • Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
  • Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
  • Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
  • Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
  • Support adoption through training, documentation, and change-management support.
  • Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:
  • Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
  • Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
  • Working knowledge of SQL - able to write joins, aggregations, and window functions against a relational database.
  • Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
  • Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:
  • Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
  • Exposure to the Microsoft Azure AI stack - Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
  • Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
  • Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
  • Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
  • Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:
  • Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
  • Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
  • A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:
  • Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
  • Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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