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Data Modeler Jobs in Portland, OR (NOW HIRING)

Develop data models, forecasts, segmentation analyses, and other quantitative analyses to support business decisions. * Proactively identify meaningful insights, risks, and opportunities rather than ...

... Data Modeling concepts Data Analyst Start Date ASAP Data Analyst Assignment Length 12 months plus Additional Information All your information will be kept confidential according to EEO guidelines.

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Develop predictive models for areas such as revenue, expenses, headcount, bookings, customer ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

We are seeking visionary computer architects to design and develop models for the next generation ... Expertise in data analysis and visualization, especially pandas and associated technologies * A ...

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

We are seeking visionary computer architects to design and develop models for the next generation ... An excitement and curiosity about the future of accelerated computing and AI Expertise in data ...

Showing results 41-60

Data Modeler information

See Portland, OR salary details

$10

$62

$88

How much do data modeler jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data modeler in Portland, OR is $62.27, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $72.40 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are the most commonly searched types of Data Modeler jobs in Portland, OR?

The most popular types of Data Modeler jobs in Portland, OR are:

What are popular job titles related to Data Modeler jobs in Portland, OR?

For Data Modeler jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Modeler jobs in Portland, OR look for?

The top searched job categories for Data Modeler jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Modeler jobs?

Cities near Portland, OR with the most Data Modeler job openings:

Infographic showing various Data Modeler job openings in Portland, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,512 per year, or $62.3 per hour.

Data Scientist/Analyst

Vancouver, WA • On-site

$60 - $80/hr

Other

Posted 7 days ago


Key responsibilities

  • Analyze large and complex datasets from multiple sources to identify trends, patterns, and business opportunities.

  • Develop dashboards, reports, and performance measurement systems to communicate insights and monitor KPIs.

  • Query, clean, transform, and validate data from various systems to support analysis and reporting.


Job description

Position Overview

Impact Scale is seeking an experienced, highly analytical Data Analystwith a strong background in data analytics, data science, statistics, or a related quantitative field. This role will be responsible for transforming complex datasets into actionable insights that drive business strategy, operational performance, and informed decision-making across the organization.

The ideal candidate has hands-on experience working with large and complex datasets, querying and manipulating data, developing dashboards and reporting systems, identifying meaningful trends, and applying analytical and statistical methods to solve business problems.

In this role, you will partner with cross-functional teams and leadership to define key performance indicators (KPIs), analyze business performance, identify opportunities and risks, improve data quality and reporting processes, and provide data-driven recommendations that influence strategic and operational decisions.

Key Responsibilities Advanced Data Analysis & Insights
  • Analyze large and complex datasets from multiple sources to identify trends, patterns, correlations, anomalies, and business opportunities.

  • Translate business questions into structured analytical approaches and measurable outcomes.

  • Apply statistical and analytical techniques to evaluate performance, test hypotheses, and identify the underlying drivers of business results.

  • Develop data models, forecasts, segmentation analyses, and other quantitative analyses to support business decisions.

  • Proactively identify meaningful insights, risks, and opportunities rather than relying solely on predefined reporting requests.

  • Present analytical findings and recommendations in a clear, concise, and actionable manner to leadership and internal stakeholders.

Reporting, Dashboards & Data Visualization
  • Develop, maintain, and improve dashboards, reports, and performance measurement systems.

  • Define, monitor, and analyze key performance indicators (KPIs) across multiple areas of the business.

  • Build scalable and reliable reporting processes that improve visibility into business performance.

  • Create effective data visualizations that communicate complex findings to both technical and non-technical audiences.

  • Validate reporting accuracy and investigate discrepancies, anomalies, or changes in performance.

Data Management & Quality
  • Query, clean, transform, and validate data from multiple systems and data sources.

  • Identify data quality issues and collaborate with relevant teams to improve data accuracy, consistency, and reliability.

  • Develop repeatable analytical processes and documentation to support scalable reporting and analysis.

  • Maintain clear definitions and documentation for key metrics, datasets, and analytical methodologies.

Business & Strategic Analysis
  • Partner with leadership and cross-functional teams to understand business objectives and translate them into analytical requirements.

  • Conduct deep-dive analyses to understand business performance and identify opportunities for growth, efficiency, and optimization.

  • Support strategic planning through forecasting, scenario analysis, business modeling, and performance analysis.

  • Evaluate the effectiveness of business initiatives and provide recommendations based on measurable results.

  • Identify workflow and operational inefficiencies through data and recommend improvements.

Cross-Functional Collaboration
  • Serve as a trusted analytical partner to teams across the organization.

  • Work with stakeholders to define reporting requirements, KPIs, analytical questions, and success metrics.

  • Communicate analytical findings and recommendations effectively to both technical and non-technical audiences.

  • Support cross-functional projects by establishing measurement frameworks and analyzing results.

Qualifications & Skills
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