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Entry Level Data Modeling Jobs (NOW HIRING)

Entry Level Data Scientiest

Manchester, NH ยท On-site

$16.25 - $21.75/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 ...

Data Scientist - NYC

Boston, MA ยท 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 ...

... 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 ...

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 ...

Junior Data Engineer

Houston, TX ยท On-site

$110K - $125K/yr

Understanding of relational database concepts and data modeling fundamentals. * Strong analytical ... Why This Opportunity? This is more than an entry-level Data Engineering position-it's an ...

... 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 Architect(33397)

Phoenix, AZ

$63.25 - $81.50/hr

Responsibilities will also include metadata management, business semantics, data modeling, and ... entry level to senior leadership Ability to manage multiple projects at the same time and shift ...

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Entry Level Data Modeling information

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

As of Jul 20, 2026, the average hourly pay for entry level data modeling in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

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

AspectEntry Level Data ModelingData Analyst
Required CredentialsBachelor's in CS, IS, or related; basic understanding of databasesBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentDesigning data structures, collaborating with DBAs and developersAnalyzing data sets, creating reports, working with business teams
Industry UsageUsed in database design, data warehousing, and system developmentApplied in business intelligence, reporting, and data-driven decision making

Entry Level Data Modeling focuses on designing and structuring data systems, while Data Analysts interpret data to provide insights. Both roles require foundational data knowledge but differ in their primary tasks and focus areas within the data ecosystem.

What are the key skills and qualifications needed to thrive as an Entry Level Data Modeler, and why are they important?

To thrive as an Entry Level Data Modeler, you need a solid understanding of database concepts, data structures, and basic SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ER/Studio, Microsoft Visio, or IBM InfoSphere Data Architect, and knowledge of relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication help you clarify requirements and present technical information to stakeholders. These skills and qualities ensure that data models are accurate, scalable, and aligned with business needs, supporting successful data-driven projects.

Is 40 too late for data science?

Entry level data modeling roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, data visualization, and understanding of data structures. Many professionals transition into data science or modeling careers later in life by gaining certifications or completing relevant training programs.

What is entry level data modeling?

Entry level data modeling involves creating and organizing data structures, such as diagrams and databases, to represent and manage information within an organization. Professionals in this role typically use tools to define how data is stored, accessed, and related, ensuring it supports business needs. Entry-level data modelers work closely with senior analysts and IT teams to learn best practices and standards. This position is ideal for those with foundational knowledge in databases, analytical thinking, and an interest in data-driven decision making.

How to start with data modelling?

Entry level data modeling involves understanding database concepts, learning data normalization, and practicing with tools like ER diagrams and SQL. Gaining familiarity with data management principles and obtaining certifications such as Microsoft Certified: Data Analyst Associate can also help build foundational skills.

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves designing and understanding complex data structures that require domain knowledge and critical thinking. AI tools can assist with automating routine tasks and data analysis, but human expertise remains essential for creating effective data models and ensuring data quality. Entry-level data modelers should focus on developing skills in data architecture, modeling tools, and understanding business requirements to stay valuable in the evolving field.

Can I get into data analytics with no experience?

Entry level data modeling roles often require some understanding of data structures, databases, and basic analytics tools like Excel or SQL. While prior experience is not always mandatory, gaining relevant skills through online courses, certifications, or hands-on practice can improve your chances of entering data analytics or data modeling positions.

How does an entry-level data modeler typically collaborate with other teams during a project?

As an entry-level data modeler, you will often work closely with business analysts, software engineers, and database administrators to translate business requirements into effective data structures. Collaboration often involves participating in meetings to gather requirements, reviewing data needs, and ensuring your models align with both business goals and technical constraints. You may also assist in refining models based on feedback and help maintain clear documentation for future reference. This teamwork not only improves your technical skills but also helps you understand the broader context of data-driven decision-making within the organization.
What are the most commonly searched types of Data Modeling jobs? The most popular types of Data Modeling jobs are:
What states have the most Entry Level Data Modeling jobs? States with the most job openings for Entry Level Data Modeling jobs include:
Entry Level Business Analyst/Data Analyst

Entry Level Business Analyst/Data Analyst

Asta CRS Inc.

Washington, DC โ€ข On-site

$30 - $35/hr

Full-time

Medical, Life

Re-posted 21 days ago


Job description

Our clients are looking for Entry Level Business and Data Analysts on contract NATIONWIDE.

Entry Level Business Analyst:

  • Analyzing structure of a business to determine how it operates and determine its objectives.
  • Facilitate, elicit and document business requirements for business process, reports, and business tasks needed for enhancements to existing systems as well as new ones that maybe initiated by business customers
  • Designing solutions to any problems identified during research phase.
  • Work closely with product and development teams to create and execute user stories.
  • Using modeling, testing and data models to improve the flow of information through an organization to enhance project success.
  • Promote best practices by data analyzing and reporting.

Entry Level Data Analyst:

  • Responsible for the design, development and administration of transactional and analytical data constructs/structures.
  • Includes expertise in data quality, data organization, metadata, and data profiling.
  • Demonstrated ability to move data between production systems and across multiple platforms
  • Has knowledge of advance Excel, SQL or Python
  • Creating and distributing both routine and complex ad-hoc reports.
  • Work with management to prioritize business and information needs

Qualifications:

  • Bachelors Preferred
  • 0-1 years of professional working experience as a Business or Data Analyst
  • Knowledge of Advanced Excel, SQL, Python or Tableau
  • AWS (Plus)
  • Willing to relocate

Asta CRS Inc is an Equal Opportunity Employer M/F/V/D." Asta CRS Inc is proud to state that we are enrolled with the USCIS for the E-Verification Program .

Company Description

ASTA Corporate Resource Solutions Inc is one of the Fastest Growing IT Companies in Northern America and the DC Metro Area with its headquarters in Ashburn, Virginia. ASTA CRS is an Information Technology Provider delivering superior quality software development, consulting, and staffing solutions to our client partners. We are 21 Years in this Industry.
ASTA CRS services are uniquely positioned to support clients in achieving profound efficiencies and relentlessly delivering results. ASTA CRS is a long-time and trusted resource for its clients and partners.
Asta CRS, Inc. is an Equal Opportunity Employer M/F/V/D. ASTA CRS is proud to state that we are enrolled with the USCIS for the E-Verification Program.