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Ai Data Analytics Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... analytical and problem-solving skills Attention to detail and data quality Ability to work with ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... analytical and problem-solving skills · Attention to detail and data quality · Ability to work ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... analytical and problem-solving skills Attention to detail and data quality Ability to work with ...

Flexjet LLC

AI Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure ... Strong analytical and problem-solving skills * Attention to detail and data quality * Ability to ...

Pwc

Finance Data, Analytics & AI - Associate

Toledo, OH · On-site

$61K - $100K/yr

Within our Data, Analytics & AI Managed Services practice, you will focus on providing strategic insights and driving informed decision-making for clients, developing and implementing innovative ...

Pwc

Finance Data, Analytics & AI - Associate

Cleveland, OH · On-site

$61K - $100K/yr

Within our Data, Analytics & AI Managed Services practice, you will focus on providing strategic insights and driving informed decision-making for clients, developing and implementing innovative ...

Pwc

Finance Data, Analytics & AI - Associate

Columbus, OH · On-site

$61K - $100K/yr

Within our Data, Analytics & AI Managed Services practice, you will focus on providing strategic insights and driving informed decision-making for clients, developing and implementing innovative ...

Kokosing

Chief Data and AI Officer

Westerville, OH · On-site

AI, Data & Analytics Leadership * Develop and execute an enterprise-wide AI and data strategy that positions data as a strategic organizational asset. * Establish scalable data governance ...

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Exposure to AI/ML-driven analytics solutions. * Experience with enterprise reporting modernization initiatives. * Knowledge of healthcare data domains such as Claims, Membership, Provider, or ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Ohio

Ai Data Analytics information

See Ohio salary details

$23

$52

$89

How much do ai data analytics jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai data analytics in Ohio is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 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 Ohio?

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

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

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

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Ohio as of September 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $108,259 per year, or $52 per hour.

AI Data Engineer

Cleveland, OH • On-site

Flexjet
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees
Learn more about Flexjetexternal

$111K - $133K/yr

Full-time

Re-posted 8 days ago

Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

Job description

POSITION SUMMARY
Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.
DUTIES & RESPONSIBILITIES
� Design, build, and maintain data pipelines for AI and machine learning workflows
� Collect, clean, and preprocess structured and unstructured data
� Develop and manage datasets for model training, validation, and inference
� Collaborate with ML engineers and data scientists to support model development
� Ensure data quality, integrity, and availability across systems
� Optimize data storage and retrieval for performance and scalability
� Implement data governance, security, and compliance best practices
� Monitor and troubleshoot data pipeline issues
REQUIRED SKILLS & QUALIFICATIONS
� Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
� Strong programming skills in Python and/or SQL
� Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)
� Familiarity with machine learning workflows and data requirements
� Experience with data processing tools (e.g., Pandas, Spark)
� Knowledge of relational and non-relational databases
� Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)
PREFERRED QUALIFICATIONS
� Experience supporting machine learning or AI projects
� Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)
� Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)
� Knowledge of MLOps practices and tools
� Experience working with unstructured data (text, images, etc.)
� Understanding of data governance and privacy standards
� Strong analytical and problem-solving skills
� Attention to detail and data quality
� Ability to work with cross-functional teams
� Good communication skills
� Ability to manage multiple data workflows

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