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Entry Level Data Modeling Jobs (NOW HIRING)

TheHomeMag

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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are ... and data models (including PivotTables, PivotCharts, Power Query, and advanced formulas). • ...

Snap Finance

Data Analyst I

West Valley City, UT · On-site

The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing ... Exposure to ETL processes, data warehousing, or data modeling concepts. * Knowledge of statistical ...

First Financial Bank

Data Analyst I

Terre Haute, IN · On-site

This role is an entry-level position and is expected to perform assigned duties under established ... modeling. * Ability to retrieve and analyze data using SQL from sources such as SQL Server ...

First Financial

Data Analyst I

Center, TX · On-site

This role is an entrylevel position and is expected to perform assigned duties under established ... modeling. * Ability to retrieve and analyze data using SQL from sources such as SQL Server ...

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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 21, 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 Data Modeling jobs near you
Business Data Analyst (Entry Level)

Business Data Analyst (Entry Level)

TheHomeMag

Cape Coral, FL • On-site

$50K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

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Job description

Business Data Analyst (Entry Level)

Cape Coral, FL  |  Full-Time  |  On-Site

About the Role

We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in Cape Coral, FL. In this role, you will support business intelligence initiatives by gathering, organizing, and analyzing data to help drive strategic decisions. This is an excellent opportunity for a recent graduate or early-career professional eager to build a career in data analytics within a collaborative, fast-paced environment.

Key Responsibilities

•       Collect, clean, and validate data from multiple internal and external sources to ensure accuracy and consistency.

•       Build, maintain, and enhance Excel-based reports, dashboards, and data models (including PivotTables, PivotCharts, Power Query, and advanced formulas).

•       Analyze business data to identify trends, patterns, and actionable insights for stakeholders across departments.

•       Collaborate with cross-functional teams to understand reporting needs and deliver timely, accurate analyses.

•       Translate complex data findings into clear, concise presentations and written summaries for non-technical audiences.

•       Assist in the development and documentation of standardized reporting processes and best practices.

•       Support ad hoc data requests and special projects as assigned by management.

•       Monitor key performance indicators (KPIs) and flag anomalies or areas of concern proactively.

Required Qualifications

•       Bachelor's degree (or currently pursuing) in Business Administration, Finance, Economics, Information Systems, Statistics, or a related field.

•       Advanced proficiency in Microsoft Excel — including PivotTables, VLOOKUP/XLOOKUP, INDEX/MATCH, IF statements, data validation, conditional formatting, Power Query, and charting.

•       Strong analytical mindset with exceptional attention to detail and organizational skills.

•       Ability to manage multiple tasks and meet deadlines in a dynamic environment.

•       Excellent written and verbal communication skills.

•       Proficiency in Microsoft Office Suite (Word, PowerPoint, Outlook).

Preferred Qualifications

•       Experience with business intelligence tools such as Power BI, Tableau, or similar platforms.

•       Familiarity with SQL for querying relational databases.

•       Exposure to ERP or CRM systems (e.g., Salesforce, SAP, NetSuite).

•       Coursework or hands-on experience with data visualization and storytelling.

•       Prior internship or co-op experience in a data, finance, or operations role.

•       Microsoft Office Specialist (MOS) Excel certification is a plus.

Core Competencies

•       Analytical Thinking — Breaks down complex data problems into manageable components.

•       Communication — Conveys findings clearly and concisely to diverse audiences.

•       Collaboration — Works effectively with team members and stakeholders at all levels.

•       Continuous Learning — Proactively develops new skills and stays current with data trends.

•       Integrity — Handles sensitive business data with confidentiality and professionalism.

Compensation & Benefits

•       Competitive starting salary commensurate with education and experience.

•       Comprehensive health, dental, and vision insurance.

•       401(k) plan with employer match.

•       Paid time off, holidays, and sick leave.

•       Professional development support.

•       Collaborative and inclusive workplace culture in Cape Coral/Fort Myers.

Company Description

70 Unique Markets • 30 States • 120 Million Magazines Mailed Annually
TheHomeMag now known as THM Media, a celebrated staple in the home improvement industry for over two decades, stands at the forefront of inspiring and empowering homeowners across the United States. As a nationally-recognized direct mail publication, it flawlessly operates across 70 unique markets in 30 states, annually delivering an impressive 120 million copies into the hands of eager home enthusiasts.
Our mission transcends the confines of traditional paper, extending our rich, well-crafted content into the digital realm. Our robust online marketplace stands as a testament to our commitment to innovation, seamlessly connecting consumers with a plethora of top-tier home improvement experts. Additionally, our dynamic email advertising programs keep subscribers updated on the latest trends, products, and services.
Throughout our expansive growth and continued success, TheHomeMag has remained dedicated to fostering a committed team. Our thriving corporation comprises over 200 employees, each integral in cultivating a brand synonymous with trust and quality.
A powerhouse in the industry, we proudly boast $150 million in organizational revenue, inclusive of our flourishing franchise markets. We attribute this prosperity to our unwavering commitment to delivering high-value content and services, aligning consumers with the expertise and inspiration they need to turn their house into the home of their dreams. TheHomeMag: your reliable guide for all things home improvement.
Visit thehomemag.com or search #thehomemag on social media.