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Director Data Analyst Machine Learning Jobs in Ohio

They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

Apply statistical and machine learning techniques to build predictive models and conduct ... and data analysis techniques. • Solid understanding of statistics and machine learning for ...

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Experience with machine learning and AI tools. * Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques. * Knowledge of data warehousing concepts and ETL ...

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

Apply statistical and machine learning techniques to build predictive models and conduct ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT Cincinnati, OH Chicago, IL SUMMARY ... analytical solutions using advanced AI, Machine learning, and optimization methods * 7+ years ...

Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP * Model deployment, A/B testing, business impact communication Data Analytics Track: * SQL, Excel, Power BI, Tableau

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Ohio? For Director Data Analyst Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Ohio look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Director Data Analyst Machine Learning jobs? Cities in Ohio with the most Director Data Analyst Machine Learning job openings:
Infographic showing various Director Data Analyst Machine Learning job openings in Ohio as of May 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution.
Data Analyst

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


Job description

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems.Skills and Qualifications:Strong analytical and problem-solving skillsProficiency in data analysis tools such as Python, R, SQL, and ExcelKnowledge of statistical methods and data modelingExpertise in data cleaning and preprocessing techniquesData visualization proficiency using tools like Tableau or Power BIStrong problem-solving skills for data-related challengesExcellent communication skills to convey complex data insights to non-technical stakeholdersOptional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision-making and business success.Database Administrator:Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems.Skills and Qualifications:Strong analytical and problem-solving skillsProficiency in data analysis tools such as Python, R, SQL, and ExcelKnowledge of statistical methods and data modelingExpertise in data cleaning and preprocessing techniquesData visualization proficiency using tools like Tableau or Power BIStrong problem-solving skills for data-related challengesExcellent communication skills to convey complex data insights to non-technical stakeholdersOptional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision-making and business success.Database Administrator:Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries
['3+ years of reporting and data analysis experience with Power BI. 3+ years of strong experience in managing Data Warehousing and Power BI Projects Experience in developing reporting and reusable datasets on a Power BI Premium tenant'] Shift: ['3+ years of reporting and data analysis experience with Power BI. 3+ years of strong experience in managing Data Warehousing and Power BI Projects Experience in developing reporting and reusable datasets on a Power BI Premium tenant']


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About Integrated Resources

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Integrated Resources Inc (IRI), based in Edison, NJ, US, is an esteemed player in the staffing solutions industry with a credible presence on their official website irionline.com. Notably, IRI provides a range of professional staffing services including contract, contract-to-hire, and direct hire solutions to a wide spectrum of industries such as healthcare, life sciences, manufacturing, financial, insurance, and others. Since its inception, IRI has been committed to delivering top-talent and optimum solutions to meet its clients' diverse needs.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Edison, NJ, US

Year founded

1996