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

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ...

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent work experience). * 7-10+ years of experience in data analytics and data modeling. * Strong ...

Analyze tool performance data to anticipate issues and propose targeted improvements * Provide ... Provide detailed field feedback to engineering and design teams and support beta testing * Manage ...

Crew Chiefs (Field Based)

Portland, OR · On-site

$80K - $101K/yr

... delineate, analyze, and implement avoidance measures for cultural resources to support ... Collect GPS data as instructed * Assist with preparation of documentation and technical memoranda

Senior Business Analyst - Catalog

Vancouver, WA · On-site

$96K - $125K/yr

Recent experience in a Business or Data Analyst role is required. * Ability to collaborate with ... Degree in business or similar field required; MBA or other advanced credential a major plus, but ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

At least ten years of relevant data, analytics, and BI engineering experience * BS degree in related field or equivalent work experience Preferred Qualifications * Experience with Azure environment

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

At least ten years of relevant data, analytics, and BI engineering experience * BS degree in related field or equivalent work experience Preferred Qualifications * Experience with Azure environment

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Education and Experience At least ten years of relevant data, analytics, and BI engineering experience. BS degree in related field or equivalent work experience. Preferred Qualifications * Experience ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

A minimum of five years experience in credit or risk management or a related field. * Data gathering, analysis, interpretation, trending, forecasting, and modeling skills. * Ability to work with ...

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Showing results 21-40

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 23, 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 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 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 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.

Is a field data analyst a well paid job?

Field data analysts typically earn competitive salaries that vary based on experience, location, and industry. They often require skills in data collection, analysis tools, and fieldwork, which can influence compensation levels. Overall, it is considered a well-paying role within data-related professions.
Infographic showing various Field Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Portland, OR

Full-time

Re-posted 4 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individu...


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