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Ai Data Analytics Jobs in Texas (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

PCS Global Tech

Entry Level AI/Data Analyst

Austin, TX · On-site

Bachelor's or Master's degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, AI, Data Science, or a related STEM field * SQL fundamentals and ...

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

IBM

Mentored Analytical Support: Receive mentorship from data scientists, AI engineers, consultants ... and technical mentors while applying analytical rigor, statistical methods, and responsible AI ...

New

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... Analyze large-scale structured and semi-structured datasets to generate insights, build predictive ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... Analyze large-scale structured and semi-structured datasets to generate insights, build predictive ...

Conch Technologies Inc

AI Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Excellent analytical, problem-solving, and communication skills. Responsibilities * Design, develop, and maintain enterprise data pipelines and data platforms. * Implement AI and machine learning ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Texas

Ai Data Analytics information

See Texas salary details

$22

$51

$88

How much do ai data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai data analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as an AI data analyst?

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 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.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

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 to develop predictive models and automate data workflows.

What are the most commonly searched types of Ai Data Analytics jobs in Texas?

The most popular types of Ai Data Analytics jobs in Texas are:

What are popular job titles related to Ai Data Analytics jobs in Texas?

For Ai Data Analytics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Texas look for?

The top searched job categories for Ai Data Analytics jobs in Texas are:

What cities in Texas are hiring for Ai Data Analytics jobs?

Cities in Texas with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.

Data Product Manager/ AI & Analytics

Rysun Labs Inc

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
We are looking for a Data Product Manager to drive the strategy, roadmap, and delivery of data and AI-powered products. This role will be working closely with business stakeholders, data teams, and 
engineering teams to build scalable analytics solutions, AI-driven products, and data platforms that create measurable business value.
 
Job Title:  Data Product Manager – AI & Analytics
Location: Houston Tx
Experience: 6+ yr
 
Key Responsibilities
  • Define and own the product vision, roadmap, and lifecycle for Data & AI products. 
  • Gather business requirements and translate them into product features, user stories, and acceptance criteria. 
  • Collaborate with Data Engineers, Data Scientists, BI Developers, and Engineering teams to deliver solutions. 
  • Drive the development of dashboards, analytics platforms, predictive models, and AI-powered applications. 
  • Prioritize product backlog and lead Agile product delivery. 
  • Define KPIs, measure product success, and continuously improve product performance. 
  • Partner with stakeholders to identify opportunities for AI, automation, and data-driven decision-making. 

 Required Skills & Experience
  • 6+ years of experience in Product Management, Business Analytics, Data Analytics, or Data Products. 
  • Strong understanding of Product Management methodologies and Agile frameworks. 
  • Experience working with Data Analytics, BI, Data Warehousing, and Data Governance. 
  • Hands-on knowledge of SQL, Power BI/Tableau, and cloud platforms (Azure/AWS/GCP). 
  • Exposure to AI/ML, Generative AI, LLMs, and predictive analytics use cases. 
  • Strong stakeholder management, communication, and problem-solving skills. 
  • Experience creating PRDs, roadmaps, user stories, and managing product backlogs. 

 Preferred Qualifications
  • Experience building AI-powered or data-driven products. 
  • Domain experience in Retail, E-commerce, Logistics, Supply Chain, Energy, or Healthcare. 
  • Certifications in Product Management, Data Analytics, AI, or Cloud technologies.