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Field Data Analyst Jobs in Portland, OR (NOW HIRING)

Required : • A degree in Information Technology, Business Systems, Computer Technology or a closely-related technical field such as Data Analytics is preferred. • With an applicable Bachelor ...

Typically has 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Knowledge & Skills Analytics and problem solving: exploratory ...

Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience.

Field Geologist

Portland, OR · On-site

$57K - $80K/yr

Oversee field monitoring and testing of soils including boring investigations and soil type ... Assists in the collection and analysis of data from sampling, reports, maps, drawings, tests and ...

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Field Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do field data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for field data analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What is the difference between Field Data Analyst vs Data Analyst?

AspectField Data AnalystData Analyst
Required CredentialsBachelor's in relevant field, data analysis certificationsBachelor's in related field, data analysis certifications
Work EnvironmentOn-site, outdoor, or remote field locationsOffice, remote, or hybrid office settings
Industry UsageIndustries like agriculture, environmental, utilitiesBusiness, finance, marketing, healthcare
Common Search/ComparisonOften compared for fieldwork vs office workMore general data analysis roles

The main difference between a Field Data Analyst and a Data Analyst lies in their work environment and focus. Field Data Analysts primarily work outdoors or at specific sites collecting data firsthand, often in industries like agriculture or environmental services. Data Analysts typically work in office settings analyzing data collected from various sources. Both roles require similar educational backgrounds and certifications, but their daily tasks and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a field data analyst, and why are they important?

To excel as a Field Data Analyst, you need strong analytical abilities, data interpretation skills, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data collection tools, GIS software, and statistical analysis programs like Excel, SPSS, or R is commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating with teams and reporting findings. These competencies ensure accurate data gathering and insightful analysis, driving informed decisions in diverse field environments.

What is a field data analyst?

Field Data Analysts are professionals who collect, process, and analyze data gathered directly from field operations or on-site activities. Their work often involves traveling to various locations to gather real-time data, ensuring its accuracy and relevance. They use statistical tools and data management software to interpret findings and provide actionable insights to support decision-making. Field Data Analysts play a key role in industries such as environmental science, market research, construction, and agriculture by helping organizations make data-driven choices based on field observations.

What are some common challenges faced by field data analysts when collecting and interpreting data onsite?

Field Data Analysts often encounter challenges such as inconsistent data quality due to environmental factors, limited connectivity for data transmission, and tight time constraints for onsite analysis. Working in the field requires adaptability, as conditions can change rapidly and may impact the accuracy or completeness of data collected. Effective communication and collaboration with onsite teams are essential to ensure that data is properly understood and integrated with larger datasets. Overcoming these challenges helps build valuable problem-solving skills and opens up opportunities for advancement into more senior analytical or project management roles.
What are popular job titles related to Field Data Analyst jobs in Portland, OR? For Field Data Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Field Data Analyst jobs in Portland, OR look for? The top searched job categories for Field Data Analyst jobs in Portland, OR are:
Infographic showing various Field Data Analyst job openings in Portland, OR as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Data Analyst 3

First Tek, Inc.

Vancouver, WA • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
First Tek, Inc. is seeking a Data Analyst 3 to provide data analysis for quality assurance testing and support settlements calculations. The role involves documenting data flow diagrams, developing databases for power market analyses, and collaborating with various BPA organizational partners.
Responsibilities:
• Provide data analysis for quality assurance testing efforts related to BPA Settlements data.
• Provide data analysis to support settlements daily, weekly and monthly calculations.
• Document data flow diagrams, entity relationship diagrams and other project deliverables.
• Provide PL/SQL databases (queries, functions, stored procedures)
• Produce excel macros using VBA coding
• Coordinate with TSRE, TORI, PTMA, and other BPA organizational partners including BPA consultants.
• Develop and maintain an understanding of higher-level activities of wholesale electric transmission customers in the western states as context for the goals of market, consumer, and business analysis.
• Develop a working familiarity with essential databases that support Transmission product analyses including OASIS reservations system, scheduling and other transmission operations data, generation sources, curtailments data, generation interconnection information, customer oriented data, etc.
• With appropriate data analytic modeling, develop databases that enable analyses of power markets and BPA's Transmission products and services.
• Translate data quality and architecture issues to both technical and non-technical teams.
• Work with business partners to understand business needs, design data models and develop specifications for analytical reports and data visualizations.
• Develop and design functional and technical requirements for Business Analytics projects.
• Perform logical data modeling and physical data modeling.
• Conduct data modeling sessions with business users and technical staff, which include conveying complex ideas both verbally and in written form.
Qualifications:
Required:
• A degree in Information Technology, Business Systems, Computer Technology or a closely-related technical field such as Data Analytics is preferred.
• With an applicable Bachelor's degree, 6 yrs of experience is required.
• With an applicable Associates degree, 8 years of experience is required.
• Without an applicable degree, 10 years of experience is required.
• Experience must include direct work experience in Information Technology performing Data Analysis.
• 5 years of application of skills to analyses of markets, business analyses, and consumer products and services analyses Knowledge of Data Warehousing techniques, terminology, implementation and ETL (Extract, Transform & Load).
• 5+ years of statistical analysis or data analysis experience.
• 2+ years of data analytics applied to analyses of markets, business to business products and services, and consumer products and services.
• Demonstrated experience designing physical and logical data models.
• Prefer experience using the Erwin Data Modeling tool.
• Experience using enterprise data modeling tools.
• Experience should include relational and dimensional modeling.
• Experience with identification and evaluation of data quality issues.
• Valid U.S. Driver's License is required.
Preferred:
• Experience with Market Analysis or Product Management teams, especially those dealing with evolving customer and business needs.
• Ability to conduct data modeling sessions with business users and technical staff, which includes conveying complex ideas both verbally and in written form.
• Ability to understand database management system administration with regard to performance, configuration, and de-normalization.
Company:
To succeed in the complex world of technology, you need exceptional connections – to the right experts, the right opportunities and the right answers. Founded in 2001, the company is headquartered in Piscataway, USA, with a team of 1001-5000 employees. The company is currently Late Stage.