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Full Time Remote Data Modeler Jobs in Boise, ID (NOW HIRING)

Data Analyst V

Boise, ID ยท Remote

$130K/yr

Data Analyst V Location: USA Remote Responsibilities * Work with large and complex datasets to ... modeling (regression, NLP). This is a remote position.

Lead Modeler

Boise, ID ยท On-site +1

Our specialized experience includes design for data centers, healthcare, science and technology ... Remote Travel : Yes 10-15% Equal Opportunity Employment Statement Salas O'Brien provides equal ...

... models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing)

Entry Level Remote Insurance Sales

Boise, ID ยท Remote

$1.5K - $3.2K/wk

... * Full-time: typically $80,000-$120,000 once established; top performers earn well beyond that ... Access to 60+ insurance carriers -- independent model, never tied to one company * A step-by-step ...

Senior AI/ML Engineer

Boise, ID ยท Remote

$130K/yr

Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark ... This role focuses on building high-performance pipelines and evaluating AI models to support ...

Entry Level Remote Sales Role

Boise, ID ยท Remote

$1.5K - $5.3K/wk

... * Full-time agents typically earn $80,000 to $120,000 once established; top performers earn ... Access to products from 60-plus insurance carriers -- independent model, never limited to one ...

... * Full-time agents typically earn $80,000 to $120,000 once established; top performers earn ... Access to products from 60-plus insurance carriers -- independent model, never limited to one ...

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Full Time Remote Data Modeler information

See Boise, ID salary details

$9

$55

$79

How much do full time remote data modeler jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for full time remote data modeler in Boise, ID is $55.88, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $64.95 per hour, depending on experience, location, and employer.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.
What are the most commonly searched types of Remote Data Modeler jobs in Boise, ID? The most popular types of Remote Data Modeler jobs in Boise, ID are:
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Data Analyst V

H R PUNDITS INC

Boise, ID โ€ข Remote

$130K/yr

Full-time

Re-posted 25 days ago


Job description

Data Analyst V
Location: USA Remote 
Responsibilities
  • Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
  • Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
  • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
  • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
  • Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
  • Advocate for customers and influence corrective actions
Please submit 10+ years profiles only
 
Must Have
1 Very technical with marketing background
2 Customer segmentation for marketing
3 Customer support
4 Comfortable with temporary tables in SQL
5 Strong skills in Python Pandas and data structures
6 Experience with data modeling (regression, NLP).

This is a remote position.