2

Entry Level Data Modeler Jobs (NOW HIRING)

The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Good understanding of the below models: * Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of ...

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

Job Title Good understanding of the below models: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and ... August 24, 2026 - November 6, 2026 Position is in Houston, TX in a hybrid working model Your future ...

... model of delivering high profile solutions for our clients across the country. This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to ... Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ...

... model of delivering high profile solutions for our clients across the country. This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on ...

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us ... Data modeling Workflow orchestrators (Dagster, Airflow, Prefect) Experience working with Python

next page

Showing results 1-20

Entry Level Data Modeler information

See salary details

$10

$58

$83

How much do entry level data modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level data modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is an entry level data modeler?

Entry Level Data Modelers are professionals who help design, create, and maintain data models for organizations, typically at the start of their careers. They work with senior data modelers or data architects to organize data structures, ensuring data is stored, accessed, and managed efficiently. Their tasks may include building entity-relationship diagrams, documenting data flows, and supporting database development. Entry level data modelers often work with teams in IT, analytics, or business intelligence, and use tools such as SQL and data modeling software. They play a crucial role in ensuring data integrity and supporting business operations through effective data management.

What are the key skills and qualifications needed to thrive as an entry level data modeler?

To thrive as an Entry Level Data Modeler, you typically need a solid understanding of database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with data modeling tools like ERwin, SQL databases, and basic knowledge of data warehousing systems is commonly expected. Strong analytical skills, attention to detail, and effective communication help you translate business needs into accurate data models. These competencies ensure data structures are efficient, scalable, and aligned with organizational objectives, supporting successful project outcomes.

What are some common challenges faced by entry level data modelers, and how can they overcome them?

Entry level data modelers often encounter challenges such as understanding complex data sources, translating business requirements into efficient data structures, and learning new modeling tools or methodologies. To overcome these, it's helpful to seek mentorship from experienced team members, actively participate in project meetings to clarify requirements, and invest time in hands-on practice with data modeling software. Collaborating closely with database administrators, analysts, and developers also enhances understanding of practical data flows and integration points.

What is the difference between Entry Level Data Modeler vs Data Analyst?

AspectEntry Level Data ModelerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; basic understanding of data modeling toolsBachelor's in Statistics, Math, or related; proficiency in data analysis software
Work EnvironmentData modeling teams, database development projectsBusiness intelligence teams, reporting, and data interpretation
Employer & Industry UsageTech companies, finance, healthcare, where data structure design is neededMarketing, finance, healthcare, focusing on data insights and reporting

While both roles involve working with data, an Entry Level Data Modeler primarily focuses on designing and creating data structures and models, whereas a Data Analyst interprets data to generate insights. The roles often overlap in industries like tech and finance, but their core responsibilities differ: modeling vs. analysis.

More about Entry Level Data Modeler jobs

What cities are hiring for Entry Level Data Modeler jobs?

Cities with the most Entry Level Data Modeler job openings:

What are the most commonly searched types of Data Modeler jobs?

The most popular types of Data Modeler jobs are:

What are popular job titles related to Entry Level Data Modeler jobs?

For Entry Level Data Modeler jobs, the most frequently searched job titles are:

Infographic showing various Entry Level Data Modeler job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 67% Full Time, 22% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Entry-Level Data Scientist - AI Chatbot Development

Washington, DC • On-site

Other

Posted 13 days ago


Job description

Jobs / Entry-Level Data Scientist – AI Chatbot Development

Entry-Level Data Scientist – AI Chatbot Development

Full-time

About the Role

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist – AI Chatbot Development to join our Team. This role will be based in Washington, DC.The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

#J-18808-Ljbffr