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Remote Environmental Data Analyst Jobs in Portland, OR

A diverse and inclusive environment is incredibly important to you. You understand and desire to be ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

A diverse and inclusive environment is incredibly important to you. You understand and desire to be ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

A diverse and inclusive environment is incredibly important to you. You understand and desire to be ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Environmental Site Assessor

Portland, OR · On-site +1

$45K - $90K/yr

Remote + Travel, M-F 8:00 AM to 5:00 PM Travel Requirements: requires domestic travel approximately ... You'll be responsible for researching, analyzing, and documenting environmental conditions and ...

Showing results 21-40

Remote Environmental Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do remote environmental data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote environmental 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 does a remote environmental data analyst do?

A Remote Environmental Data Analyst collects, processes, and interprets environmental data such as air quality, water resources, or climate information, all while working from a remote location. They use statistical tools and software to analyze large datasets, identify patterns, and produce reports that support environmental research or policy decisions. Their work often involves collaborating with scientists, government agencies, or private organizations to help monitor and address environmental issues. Strong analytical skills and proficiency in data analysis software are essential for this role.

What are the key skills and qualifications needed to thrive as a remote environmental data analyst?

A Remote Environmental Data Analyst should have a solid background in environmental science, statistics, and data analysis, typically supported by a relevant degree. Familiarity with data analysis tools like R, Python, GIS software, and remote sensing platforms is essential, along with experience handling large environmental datasets. Strong analytical thinking, attention to detail, and effective written communication are critical soft skills for interpreting data and collaborating remotely. These competencies enable accurate environmental assessments and support informed decision-making for sustainability initiatives.

How does a remote environmental data analyst typically collaborate with other team members and stakeholders?

As a Remote Environmental Data Analyst, you often work closely with interdisciplinary teams that may include scientists, engineers, project managers, and government agencies. Collaboration is typically facilitated through digital communication tools, shared data platforms, and regular virtual meetings. Your role often involves interpreting data, generating reports, and presenting findings to both technical and non-technical stakeholders. Strong communication skills are essential, as you may need to explain complex data trends or offer actionable recommendations to support environmental projects and policy decisions.

What are popular job titles related to Remote Environmental Data Analyst jobs in Portland, OR?

For Remote Environmental Data Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Data Analyst jobs in Portland, OR look for?

The top searched job categories for Remote Environmental Data Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Environmental Data Analyst jobs?

Cities near Portland, OR with the most Remote Environmental Data Analyst job openings:

Infographic showing various Remote Environmental Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Temporary. Highlights an 100% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Wholesale Sales Analyst I

LaCrosse Footwear

Portland, OR • Remote

Full-time

Posted 6 days ago


Job description

Job DescriptionWholesale Sales Analyst IThe following statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.POSITION SUMMARY:The Wholesale Sales Analyst I is an analytical, detail-oriented, data driven partner to the Head of Integrated Business Planning/Director of Sales Operations and the Sales Management Team. We are looking for someone genuinely curious about the story behind the numbers, one who questions data, digs for the root cause, and proactively surfaces trends, risks, and opportunities. This role manages and analyzes sales data, turning it into clear, actionable reporting, and exercises sound analytical judgment to identify trends and flag risks and opportunities in sales, inventory, and customer/retailer data. Success is measured by the accuracy and reliability of the reporting produced, the quality of judgment behind the insights surfaced, and the initiative shown in raising issues and sharing ideas.ESSENTIAL FUNCTIONS OF THE POSITION:Support the Head of Integrated Business Planning/Director of Sales Operations with ongoing data preparation and analysis, creating annual budgets/goals, and development and progression of the Integrated Business Planning (IBP) process; gather, research and reconcile inputs across Sales, Marketing, Product, surface opportunities and prepare materials for the cycle review. Build and maintain Excel and Power BI reports, scorecards, and dashboards that track wholesale sales performance, customer orders, inventory availability, sales programs, etc.Apply advanced Excel skills and AI tools to accelerate and automate analysis and reporting, improve data quality, and validate output while protecting confidential data.Proactively analyze sales, inventory, and customer/retailer data to identify trends and flag risks or opportunities for sales and/or customer service to act upon.Support Sales Team with reporting tools, dashboards, sell-in and sell-through tracking, and forecast accuracy efforts.Track and maintain customer/retailer sell-through data (account/door performance, turns, seasonality, promo lift) to support sales targets and inventory decisions.Partner with cross-channel Sales, Product, Marketing, Finance, Demand Planning, and Customer Service to gather data, align on metrics, and support a consistent "one source of truth."Maintain documentation, data dictionaries, and training materials so reporting tools are easy to use and consistently applied.Monitor market and competitor information and proactively incorporate relevant signals into analyses and reporting.POSITION REQUIREMENTS & QUALIFICATIONS:To perform this job successfully, an individual must be able to perform each essential duty successfully. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.Bachelor's degree in Business, Finance, Analytics, or a related field.1-3 years of experience in analytics, sales operations, or a related area; relevant coursework, projects, or internship experience will be considered in place of full-time experience.Proficient in Excel (formulas, pivot tables, Power Query), demonstrated through coursework, projects, or prior work/internship experience, and Power BI (data modeling, report design), gained through coursework, certifications, or hands-on project experience.Genuinely curious and inquisitive - asks "why" by default, forms hypotheses, and validates conclusions with data rather than accepting numbers at face value.Proactive self-starter who identifies problems, risks, and opportunities without being prompted, and follows through independently.Comfortable using AI tools to improve productivity in analytics workflows, with good judgment around data privacy and accuracy.Basic understanding of sales performance metrics (sell-in/sell-through, margin, forecast accuracy) and how to communicate insights to non-technical audiences.Strong attention to detail and data integrity; comfortable working with large datasets.Strong communication skills and ability to manage multiple requests in a fast-paced environment.ENVIRONMENTAL FACTORS / WORK ENVIRONMENT:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This role is fully remote. Up to 10% travel may be required.REPORTING:This position reports directly to Director of Sales Operations.FLSA CLASSIFICATION: x Exempt ☐ Non-Exempt
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