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Ai Data Analytics Jobs (NOW HIRING)

TTX

AI & Data Analytics Architect

Charlotte, NC

$62.25 - $80/hr

JOB SUMMARY The AI & Data Analytics Architect role is responsible for designing and guiding the implementation of enterprise-wide AI, data analytics, and data architecture platforms and integrated ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

New

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO

$113K - $135K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

New

TTX Company

AI & Data Analytics Architect

Charlotte, NC · On-site

$62.25 - $80/hr

JOB SUMMARY The AI & Data Analytics Architect role is responsible for designing and guiding the implementation of enterprise-wide AI, data analytics, and data architecture platforms and integrated ...

Tenthpin

Director - Data & Analytics

Sandy Springs, GA · On-site +1

Building on that success, we see a significant opportunity to expand our AI, Data, Analytics capabilities as enterprise data, AI and modern cloud platforms continue to transform the Life Sciences ...

Tenthpin

Director - Data & Analytics

Sandy Springs, GA · On-site +1

Building on that success, we see a significant opportunity to expand our AI, Data, Analytics capabilities as enterprise data, AI and modern cloud platforms continue to transform the Life Sciences ...

DataBank

Director of AI & Data Analytics

Dallas, TX · On-site

We're looking for a hands-on Director of AI & Data Analytics who still loves getting their hands dirty in code. This isn't a 'pure management' role where you sit in meetings all day - You'll spend ...

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ... analytics engineering, data operations, or data quality roles. * Good understanding of data quality ...

RELX

AI Data Analyst

Minneapolis, MN

... analytics engineering, data operations, or data quality roles. * Good understanding of data quality ... AI solutions benefit from more relevant, uptodate, and understandable data . * Clear ownership and ...

Lexisnexis Risk Solutions

AI Data Analyst

Dayton, OH

... analytics engineering, data operations, or data quality roles. * Good understanding of data quality ... AI solutions benefit from more relevant, uptodate, and understandable data . * Clear ownership and ...

LexisNexis

AI Data Analyst

Alpharetta, GA · On-site

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ... analytics engineering, data operations, or data quality roles. * Good understanding of data quality ...

RELX

AI Data Analyst

Alpharetta, GA

... analytics engineering, data operations, or data quality roles. * Good understanding of data quality ... AI solutions benefit from more relevant, uptodate, and understandable data . * Clear ownership and ...

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Ai Data Analytics information

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How much do ai data analytics jobs pay per hour?

As of Jul 18, 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 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.
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Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
AI Data Analytics Architect

AI Data Analytics Architect

UNICOM TECHNOLOGIES INC

Charlotte, NC • On-site

$69.50/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI Data Analytics Architect / Senior AI Data Analytics & Automation Lead - Charlotte, NC (Hybrid) | W2 Contract

Job ID: 178212
Position: AI Data Analytics Architect / Senior AI Data Analytics & Automation Lead
Client: Wells Fargo
Location: Charlotte, NC (Hybrid/Onsite)
Work Location: 11625 N Community House Rd., Charlotte, NC
Duration: Through January 30, 2027 (Long-Term Contract)
Employment Type: W2 Only
Pay Rate: Up to $69.50/hr W2 + Benefits

Job Summary

We are seeking a Senior AI Data Analytics & Automation Lead to help drive enterprise analytics, intelligent automation, and AI-powered business solutions. This role is ideal for someone who combines expertise in Power BI, Python, SQL, Data Engineering, and Generative AI to build scalable reporting platforms, automate business processes, and develop AI-driven productivity solutions.

The ideal candidate is passionate about data, automation, modern AI technologies, and partnering with business leaders to deliver impactful enterprise solutions.

Key Responsibilities Data Analytics & Business Intelligence

  • Design, develop, and optimize executive dashboards using Power BI.

  • Build scalable KPI, operational, and executive reporting solutions.

  • Create advanced data models, DAX calculations, and Power Query transformations.

  • Translate complex business data into actionable insights and visualizations.

  • Develop advanced Excel-based reporting and analytical models.


Data Engineering & Automation

  • Build Python-based automation for reporting, reconciliation, and workflow optimization.

  • Develop ETL/ELT pipelines integrating enterprise data sources.

  • Automate recurring reporting processes to improve efficiency and data quality.

  • Implement data governance, monitoring, and quality controls.


AI & Intelligent Automation

  • Design and implement Generative AI and Agentic AI solutions.

  • Build AI-powered assistants, workflow automation, and decision-support tools.

  • Develop solutions using:

    • Large Language Models (LLMs)

    • Prompt Engineering

    • Retrieval-Augmented Generation (RAG)

    • Vector Databases

    • AI Orchestration Frameworks

  • Evaluate and implement emerging AI technologies across enterprise workflows.


Stakeholder Collaboration

  • Partner directly with business leaders to translate business requirements into technical solutions.

  • Present dashboards, AI strategies, and recommendations to executive leadership.

  • Serve as a trusted advisor on analytics, automation, and AI best practices.


Required Qualifications

  • 5+ years of Systems Architecture, Data Engineering, Analytics, or Business Intelligence experience.

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Analytics, or related field.

  • 5+ years of experience with enterprise analytics and reporting.

  • Strong SQL and enterprise data platform experience.


Expert-Level Power BI

  • Power BI Dashboard Development

  • DAX

  • Data Modeling

  • Power Query

  • Dashboard Performance Optimization


Advanced Excel

  • Power Query

  • Pivot Tables

  • Financial & Operational Modeling

  • VBA/Macros (Preferred)


Strong Python Experience

  • Data Processing

  • Automation

  • API Integrations

  • Analytics

  • Workflow Orchestration


Preferred Qualifications

  • Hands-on experience with Generative AI platforms and Large Language Models (LLMs).

  • Experience with cloud platforms:

    • Azure

    • AWS

    • Google Cloud Platform (Google Cloud Platform)

  • Experience delivering intelligent automation solutions in enterprise or financial services environments.


Agentic AI Experience

Experience with one or more of the following:

  • Microsoft Copilot Studio

  • LangChain

  • LangGraph

  • CrewAI

  • AutoGen

  • Semantic Kernel

  • Google ADK


AI Technologies

  • Retrieval-Augmented Generation (RAG)

  • Vector Databases

  • Prompt Engineering

  • AI Governance

  • AI Evaluation Frameworks


Desired Skills

  • Power BI

  • Python

  • SQL

  • Power Query

  • DAX

  • Excel

  • ETL / ELT

  • Data Engineering

  • Business Intelligence

  • AI Automation

  • Generative AI

  • Agentic AI

  • LLMs

  • LangChain

  • CrewAI

  • AutoGen

  • Semantic Kernel

  • Copilot Studio

  • RAG

  • Vector Databases

  • Azure

  • AWS

  • Google Cloud Platform


Apply