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Entry Level Data Modeling Jobs in California (NOW HIRING)

GTS FZCO

Computer Systems Analyst

Dublin, CA · On-site

... 2-3 entry-level and mid-level systems analysts, apply independent, advanced technical and ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

This is an entry-level research role for individuals with less than 3 years of research experience ... These models improve through a tight feedback loop: design experiments, collect data, train or fine ...

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Entry Level Data Modeling information

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 in California? The most popular types of Data Modeling jobs in California are:
Entry Level Data Modeling jobs near you

Computer Systems Analyst

GTS FZCO

Dublin, CA • On-site

Full-time

Posted 13 hours ago

Job description

Company Description
Global Technology Solutions - GTS Group is an ICT Systems Integrator providing IT Infrastructure, Application & Security solutions. The Group having offices in USA - New York, Dubai, Abu Dhabi in UAE, Doha-Qatar and Bangalore-India. GTS provides solutions to achieve Breakthrough Performance through the intelligent use of Technologies. GTS is Trusted and Valued by clients for the High Quality of Services and Commitment to deliver real results.
GTS incorporates key ICT experience and vertical market expertise to help you to rapidly and successfully implement excellent solutions. We will help you achieve Breakthrough Performance by providing IT Infrastructure, Application & Security solutions.
Our Philosophy: Balancing People with Technology: GTS brings the right balance of people, technologies and specific industry expertise in each of our client partnership. This will helps you to achieve aggressive strategic performance and business goals. Our culture places extreme value on making and meeting commitments. We provide a full range of "Consulting Services" from strategic business analysis to full implementation of solutions that produce genuine results, on time and within your budget. Equally important is our flexible working environment which allows us to attract and retain exceptionally talented people who in turn provide the highest quality of services to our clients.
Job Description
Act in a senior technical role on assigned Business/IT projects Coordinating a team of 2-3 entry-level and mid-level systems analysts, apply independent, advanced technical and procedural knowledge to ensure that software is developed pursuant to company standards and project requirements as outlined by his/her project manager. Use of at least five of the following: Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling Analysis, Software Architecture, Oracle, DB2, and Agile
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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