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Ai Data Analytics Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113.40K - $136.10K/yr

Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics. * Optimize cloud infrastructure: Utilize AWS cloud computing platforms to ...

DEEPREC.AI

AI Data Lead

$180K - $220K/yr

AI Data Lead $180,000 - $200,000 | New York (Remote) | Full-Time Deeprec.ai is proud to announce ... Design data models connecting client content to regulatory concepts and gap analysis. * Maintain ...

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 ...

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 ...

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How much do ai data analytics jobs pay per hour?

As of May 30, 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.

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.

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 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 is the average salary of a data analyst with AI?

The average salary of a data analyst with AI skills typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Professionals with expertise in machine learning, programming languages like Python, and data visualization tools 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.

More about Ai Data Analytics jobs
What cities are hiring for Ai Data Analytics jobs? Cities with the most Ai Data Analytics job openings:
What are the most commonly searched types of Ai Data Analytics jobs? The most popular types of Ai Data Analytics jobs are:
What states have the most Ai Data Analytics jobs? States with the most job openings for Ai Data Analytics jobs include:
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Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Senior AI Data Analyst

Senior AI Data Analyst

Smarter HR Solutions LLC

Houston, TX

$52 - $54/hr

Full-time

Posted 4 days ago

Job description

***Please note: This position is onsite and not remote. Candidates must be based in the Houston area, as relocation assistance is not provided. Only individuals authorized to work in the U.S. without sponsorship will be considered.***

Job Title: Senior AI Data Analyst
Job Type: Contract (this role is a 12-month assignment)
Job Salary: $52-$54/hour
Job Schedule: M-F, 40 hrs/week
Job Location: Houston, TX 77092

Position Overview

We are seeking a Senior AI Data Analyst to lead the design, development, and deployment of advanced analytics and artificial intelligence solutions in a large, data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

Key Responsibilities
AI & Advanced Analytics
  • Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation
  • Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring
  • Apply responsible AI practices to ensure fairness, explainability, and transparency
Data Strategy & Governance
  • Maintain data quality standards, metadata practices, and model documentation
  • Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
  • Support development of AI governance, ethics frameworks, and model risk management processes
Stakeholder Collaboration
  • Identify opportunities to leverage AI to improve operations and service outcomes
  • Communicate complex findings into clear, actionable insights for executive leadership
  • Provide mentorship and technical guidance to analysts and cross-functional teams
Reporting & Visualization
  • Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts
  • Build and maintain Business Intelligence solutions (e.g., Power BI)
  • Integrate AI-driven insights into reporting for real-time decision-making

Requirements
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred)
  • 5+ years of experience in data analytics, data science, or AI/ML roles
  • Hands-on experience with machine learning model development and deployment
  • Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)
  • Experience with NLP, predictive modeling, or automation solutions
  • Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)
  • Excellent communication skills with ability to present technical insights to non-technical audiences
Preferred Qualifications
  • Experience working with large, complex datasets in regulated environments
  • Familiarity with MLOps, model monitoring, and lifecycle management
  • Exposure to geospatial analytics, LLMs, or advanced AI frameworks
  • Experience implementing responsible AI or ethical AI frameworks
What You’ll Deliver
  • Production-level AI solutions improving internal workflows or customer-facing services
  • Executive-facing dashboards with near real-time insights
  • Established data quality standards and governance practices
  • AI governance workflows including bias testing, documentation, and monitoring
  • Scalable processes for cross-functional AI project delivery