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Professional Data Modeler Jobs in Ohio (NOW HIRING)

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

... me 2 professional references from any of your project ASAP. Title: Data Modeler Location: Dayton, OH Duration: 9 - 12 months+ Top Desired Skills: Data Modeler, SQL, Erwin, Healthcare Industry ...

Professional communication skills are crucial as this individual (and their work product) will ... data compilation, programming skills and qualitative analysis skills - Thorough knowledge of the ...

Responsibilities : • Developing and deploying predictive, prescriptive, and inferential models ... Required : • 3-5 years of professional data science or machine learning experience • Strong ...

This position will utilize professional experience and technical knowledge of hydraulics, water distribution master planning, and computer modeling, combined with data analytics as part of our local ...

This position will utilize professional experience and technical knowledge of hydraulics, water distribution master planning, and computer modeling, combined with data analytics as part of our local ...

... professional data science or machine learning experience* Strong proficiency in Python and ML libraries* Experience with cloud platforms and scalable data systems* Familiarity with multiple modeling ...

Monitoring model performance and data drift * Improving shared tools, frameworks, and best ... Advanced degree preferred or equivalent experience * 3-5 years of professional data science or ...

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Professional Data Modeler information

How much does a data modeler make?

A professional data modeler typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in data architecture and tools like ERwin or PowerDesigner can earn higher salaries, especially in large organizations or tech hubs.

What jobs make $1,000,000 a year?

In the field of data modeling, highly experienced professionals such as senior data architects or chief data officers working in large corporations or consulting firms can earn salaries approaching or exceeding $1 million annually, especially with bonuses and stock options. These roles typically require advanced skills in data management, extensive industry experience, and leadership responsibilities.

What jobs in the US pay 300,000 a year?

For a Professional Data Modeler, annual salaries of $300,000 or more are typically found in senior or specialized roles such as data architecture, data science, or executive positions in large organizations. These roles often require advanced skills in data modeling, SQL, and experience with big data tools, along with extensive industry experience. Compensation varies based on industry, location, and level of expertise.

What is the difference between Professional Data Modeler vs Data Analyst?

AspectProfessional Data ModelerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentDesigning data structures, creating data models, collaborating with database developersAnalyzing data sets, generating reports, providing insights for decision-making
Employer & Industry UsageUsed in data warehousing, database design, enterprise data managementUsed across finance, marketing, healthcare, and business sectors for data-driven decisions

The Professional Data Modeler focuses on designing and structuring data systems, while the Data Analyst interprets data to provide actionable insights. Both roles require strong analytical skills but differ in their primary responsibilities and work environments.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as generating schemas or analyzing data patterns, but professional data modelers are essential for designing complex data structures, ensuring data quality, and aligning models with business needs. Human expertise remains critical for interpreting requirements and making strategic decisions in data architecture. As AI advances, data modelers may focus more on oversight, validation, and integrating AI outputs into comprehensive data solutions.
What are the most commonly searched types of Data Modeler jobs in Ohio? The most popular types of Data Modeler jobs in Ohio are:
What are popular job titles related to Professional Data Modeler jobs in Ohio? For Professional Data Modeler jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Professional Data Modeler jobs in Ohio look for? The top searched job categories for Professional Data Modeler jobs in Ohio are:
What cities in Ohio are hiring for Professional Data Modeler jobs? Cities in Ohio with the most Professional Data Modeler job openings:

Data Modeler or Senior Data Modeler

University of Dayton

Dayton, OH • On-site

$53.25 - $69/hr

Full-time

Re-posted 11 days ago


University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

96th of 614 rated colleges and universities


Job description

Data Modeler or Senior Data Modeler
Job No: 503647
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: University Staff
Department: Entpr Data Mgmt & Dec Sppt - 804420
Pay Grade: B - Exempt
Advertised: June 22, 2026
Applications close:
Position Summary:
The Data Modeler plays a critical role in the development and implementation of a data management strategy that supports the organization's strategic goals and operational needs. This individual will be responsible for ensuring data integrity, creating physical data models, and optimizing data storage and retrieval processes.
In addition to the responsibilities of the Data Modeler position, the Senior Data Modeler role takes on greater responsibilities for shaping data management. This includes working with cross-functional teams to gather business requirements and translate them into efficient and scalable data architectures; designing conceptual and logical data models; and informing, defining, and documenting data governance standards.
Minimum Qualifications:
Minimum requirements for the Data Modeler
• High school diploma or equivalent.
• At least two years professional experience in a data management related field.
• At least two years experience writing SQL.
• Relational and dimensional data modeling, database design, and performance tuning skills.
• Demonstrated communication skills and the ability to work collaboratively in a dynamic environment.
• Ability to work well under pressure and meet deadlines.
A Senior Data Modeler must meet all Data Modeler minimum qualifications in addition to the qualifications listed below.
• At least five years professional experience in a data management related field.
• At least five years experience writing SQL.
• Understanding of source and target data structures, ETL processes, and products.
• Experience with systems analysis functions with emphasis on translating business needs into technical solutions.
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
• An understanding of data governance princiiples and standards, e.g. Educause's HERM.
• Working knowledge of data warehousing design principles.
• Experience working with data in the Higher Education industry.
• Experience working with Ellucian Banner, Salesforce, and/or Canvas data.
• Experience working with a CI/CD environment and tools, particularly Git.
• Ability to work with users at all levels of the organization.
Special Instructions to Applicants:
To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.
Applicants must be currently authorized to work in the United States on a full-time basis. The University does not provide work visa sponsorship for this position.
Closing Statement:
Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.
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