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Ai Data Analytics Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

Our partner is looking for a Sr Director Analyst - AI Data Security and Data Management based in Netherlands. This is a senior individual contributor role at the intersection of cybersecurity ...

Perficient, Inc.

Azure AI Data Architect

Saint Louis, MO

$59.50 - $77.50/hr

As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage ... About Us The Perficient Data & Analytics Solutions organization supports a wide variety of clients ...

Perficient

Azure AI Data Architect

Saint Louis, MO · On-site

$59.50 - $77.50/hr

About Us The Perficient Data & Analytics Solutions organization supports a wide variety of clients ... AI & Advanced Analytics * Architect AI and machine learning solutions using Azure AI services and ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical resource with effective communication ...

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How much do ai data analytics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for ai data analytics in Missouri is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $58.17 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 popular job titles related to Ai Data Analytics jobs in Missouri?

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

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

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

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

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

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,814 per year, or $51.4 per hour.

AI & Data Analytics Presales Solution Architect

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $190/hr

Other

Posted 11 days ago

Job description

Responsibilities
  • Partner with sales teams to shape and advance data and AI opportunities
  • Lead discovery sessions to identify business challenges, data needs, and AI use cases
  • Design and present end-to-end solutions using Microsoft Fabric
  • Translate technical concepts into clear business value and ROI narratives
  • Support proposals, RFPs, and solution scoping
  • Design modern data platforms using: Microsoft Fabric (Lakehouse, Warehouse, Power BI, Data Factory)
  • Scalable, secure, and governed architectures
  • Guide clients through data modernization and migration strategies
  • Define best practices across data modeling, pipelines, and analytics
  • Identify and shape AI use cases tied to business outcomes
  • Position and help sell: AI Launchpad workshops, AI Factory delivery model
  • Connect data platform capabilities to AI enablement
  • Lead client discussions, whiteboarding sessions, and solution presentations
  • Build relationships with business and technology stakeholders
  • Communicate the “Art of the Possible” across data and AI
  • Facilitate or support AI Launchpad workshops
  • Contribute to AI strategy and roadmap development
  • Help evolve AI Factory offerings and go-to-market assets
  • Support early-stage delivery and mentor team members
  • Contribute to thought leadership (events, webinars, content)
Requirements
  • Minimum 7 years of experience in data architecture, analytics, or data platform solutions
  • Experience in a client-facing, pre-sales, or consulting role
  • Hands-on experience with at least one of the following: Microsoft Fabric, OR Azure Synapse / Azure Data Factory / Power BI / Databricks
  • Strong understanding of: Data warehousing and dimensional modeling
  • ETL/ELT and modern data architectures (lakehouse concepts)
  • Ability to translate technical solutions into business value
  • Experience leading client discussions, demos, or solution presentations
  • Preferred Qualifications: Direct experience with Microsoft Fabric end-to-end workloads
  • Experience selling or delivering AI-related solutions or initiatives
  • Familiarity with: Generative AI (Copilots, LLMs, embeddings)
  • Predictive analytics or machine learning
  • Experience with AI workshops, ideation sessions, or roadmap development
  • Microsoft certifications (Fabric, Azure Data, AI Engineer)
  • Industry experience (e.g., Manufacturing, Healthcare, Financial Services)
Core Competencies

Demonstrates expertise in designing and implementing data platforms using Microsoft Fabric, with a strong focus on translating technical solutions into business value. Proven ability to lead client engagements, facilitate AI workshops, and contribute to AI strategy development.

Highest-signal resume keywords
  • Microsoft Fabric
  • Data Architecture
  • AI Solutions Delivery
  • Client-Facing Experience
  • Data Warehousing
ATS Optimization Keywords Hard Skills
  • Data Modeling
  • ETL/ELT
  • Predictive Analytics
  • Machine Learning
  • Dimensional Modeling
  • Data Platform Solutions
  • AI Use Case Identification
  • Data Modernization Strategies
  • Solution Scoping
  • Business Value Translation
Soft Skills
  • Communication
  • Relationship Building
  • Mentoring
  • Facilitation
  • Leadership
Certifications & Qualifications
  • Microsoft Fabric Certification
  • Azure Data Certification
  • AI Engineer Certification
Industry Keywords
  • Manufacturing
  • Healthcare
  • Financial Services
  • Data Governance
  • Data Analytics
Tools & Technologies
  • Azure Synapse
  • Azure Data Factory
  • Power BI
  • Databricks
  • AI Launchpad
  • AI Factory
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