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Entry Level Remote Data Modeler Jobs in Fontana, CA

Infinity Marketing

Data Analyst

Riverside, CA · Remote

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

ACES

BCBA

Riverside, CA · On-site +1

$90K - $105K/yr

Embrace flexibility with up to 25% remote work capability. * Referral Bonuses: Earn up to $3000 for ... Data-Driven Progress Tracking: Utilize cutting-edge data collection software to evaluate and update ...

New

ABB

Senior Project Engineer

La Verne, CA · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Iatinsurancegroup

Commercial Surety Underwriter

Anaheim, CA · On-site +1

$55K - $120K/yr

For the ideal candidate, we are open to remote work from Washington or Oregon, or from our Bellevue ... Financial and account analysis of pertinent financial data, authority, and referral requirements ...

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Entry Level Remote Data Modeler information

See Fontana, CA salary details

$10

$59

$84

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

As of Aug 30, 2026, the average hourly pay for entry level remote data modeler in Fontana, CA is $59.69, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $69.42 per hour, depending on experience, location, and employer.

What does an entry level remote data modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the key skills and qualifications needed to thrive as an entry level remote data modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What are the typical challenges faced by entry level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

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

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are popular job titles related to Entry Level Remote Data Modeler jobs in Fontana, CA?

For Entry Level Remote Data Modeler jobs in Fontana, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Data Modeler jobs in Fontana, CA look for?

The top searched job categories for Entry Level Remote Data Modeler jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Entry Level Remote Data Modeler jobs?

Cities near Fontana, CA with the most Entry Level Remote Data Modeler job openings:

Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $124,155 per year, or $59.7 per hour.

Data Analyst

Riverside, CA • Remote

Infinity Marketing
Marketing • 51 - 200 employees
Learn more about Infinity Marketingexternal

Full-time

Re-posted 20 days ago

Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.

Apply