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Five Rivers Analytics Jobs in Bothell, WA (NOW HIRING)

Collections Specialist

Seattle, WA ยท Hybrid

$34.08 - $53.17/hr

Run and analyze reports related to outstanding balances, collections activity, and financial ... Refunds: Gather, prepare and submit documentation in Chrome River in order refund overpayments ...

... analyze spatial and temporal variability in processes experienced by migrating salmon in river ... Government-required training to be completed within 5 business days of start: NOAA IT Security, ...

... analyze spatial and temporal variability in processes experienced by migrating salmon in river ... Government-required training to be completed within 5 business days of start: NOAA IT Security, ...

Practice Specialist

Seattle, WA ยท On-site

$70K - $95K/yr

May conduct research and analyze data to support preparation of client reports. * May be ... Proficient in iManage Records Manager, InTapp, Chrome River, iManage, and Microsoft programs Word ...

Captain

Seattle, WA ยท On-site

$1.0K/day

Five (5) years of experience towing barges as Master, coastwise on the US West Coast, SE Alaska and ... Must be able to perform the functions set forth in the attached job analysis and physically fit ...

Captain

Seattle, WA

$780 - $1.0K/day

Five (5) years of experience towing barges as Master, coastwise on the US West Coast, SE Alaska and ... Must be able to perform the functions set forth in the attached job analysis and physically fit ...

... River Valley. Woodinville is known for its tourism industries with over 130 wineries, breweries ... The Seasonal Maintenance Worker positions will work up to five months duration, typically Monday ...

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Five Rivers Analytics information

See Bothell, WA salary details

$3.6K

$7K

$10.1K

How much do five rivers analytics jobs pay per month?

As of Aug 4, 2026, the average monthly pay for five rivers analytics in Bothell, WA is $7,032.17, according to ZipRecruiter salary data. Most workers in this role earn between $6,383.33 and $7,500.00 per month, depending on experience, location, and employer.

What types of projects do analysts typically work on at Five Rivers Analytics?

At Five Rivers Analytics, analysts are often involved in a variety of projects including data modeling, business intelligence reporting, and client-specific analytics solutions. This means your daily tasks may range from cleaning and analyzing datasets to collaborating with clients and internal teams to define project goals and deliver actionable insights. The work is dynamic, and analysts are encouraged to contribute ideas for process improvement and automation, which fosters a collaborative and innovative environment. The diversity of projects provides excellent opportunities to develop both technical and client-facing skills.

What are the key skills and qualifications needed to thrive as a data analyst at Five Rivers Analytics?

To thrive as a Data Analyst, you need a strong background in statistics, data modeling, and analytical thinking, usually supported by a degree in mathematics, computer science, or a related field. Proficiency with data analysis tools and languages such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, attention to detail, and problem-solving abilities help translate complex data into actionable insights for stakeholders. These skills are essential for turning raw data into strategic business decisions and driving impactful results.

What is Five Rivers Analytics?

Five Rivers Analytics is a company that specializes in providing data analytics, business intelligence, and technology consulting services. They help organizations leverage data to make informed decisions, improve efficiency, and drive growth. Their offerings typically include data analysis, visualization, predictive modeling, and custom software solutions tailored to client needs. Five Rivers Analytics may work with clients across various industries to solve complex business challenges using data-driven approaches.

What is the difference between Five Rivers Analytics vs Data Analyst?

AspectFive Rivers AnalyticsData Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related field; proficiency in SQL, Python, or RBachelor's in Statistics, Mathematics, or related field; knowledge of data visualization tools
Work EnvironmentCorporate offices, consulting firms, or remote settingsBusiness environments, tech companies, or finance sectors
Employer & Industry UsageConsulting firms, analytics service providers, or internal corporate teamsBusinesses across industries seeking data insights
Common Search & ComparisonYesYes

Five Rivers Analytics and Data Analyst roles share similar credentials and work environments, often overlapping in industry usage. While Five Rivers Analytics may focus more on consulting and strategic analytics projects, Data Analysts typically handle data collection, processing, and reporting within organizations. Both roles require strong analytical skills and technical knowledge, making them closely related but distinct in scope and application.

Infographic showing various Five Rivers Analytics job openings in Bothell, WA as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $84,386 per year, or $40.6 per hour.

Quantitative Analyst -- COMPASS Modeling

Think Tank, Inc.

Seattle, WA โ€ข On-site

Full-time

Posted 26 days ago


Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems to evaluate effects of stressors and management actions across fish life cycles, using statistical modeling, computer modeling, statistical/quantitative analysis, and other quantitative modeling techniques.
  • Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address West Coast Regional Office requests in support of ESA litigation and permitting.
  • Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.
  • Document and share reproducible research workflows and analytical products.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and conferences, as needed.
  • Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats).

EDUCATION & EXPERIENCE:

Required:

  • Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order and a strong quantitative background, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.
  • Experience: Three (3) or more years of experience related to the task order.

Desired:

  • Master's degree preferred.
  • Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • All analyses conducted with accepted methods and QA/QC.
  • Assigned statistical and biological modeling components completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.
  • Reproducible analytical workflows documented; modeling scripts, methods, and results shared via open-science platforms (e.g., GitHub).
  • Written status reports and other ad hoc communications; participation in field tasks as needed.

SKILLS:

Required:

  • Extensive experience in modeling and data analysis; extensive experience executing statistical analysis and modeling in R, with strong R coding skills.
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
  • Familiarity with common workplace software such as Google Suite and Microsoft Office.
  • Excellent communication skills; experience writing reports and contributing to peer-reviewed articles; able to work independently and on interdisciplinary teams.
  • Desired:

    • Experience with Bayesian statistical methods and mark-recapture analysis preferred.
    • Computational experience with command-line environments (e.g., Linux/shell scripting) preferred; experience with open-science concepts.
    • Experience with Bayesian modeling programs Stan and JAGS preferred.