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Remote Data Analyst Jobs in Pullman, WA (NOW HIRING)

University of Idaho Job

Data Engineer

Moscow, ID · On-site +1

$85K/yr

... remote option Posting Context Statement Join the University of Idaho's Office of Information ... Collaborating with data consumers, analysts and product managers to define and deliver data ...

Addium Inc

FP&A Analyst

Pullman, WA · On-site +1

$80K - $95K/yr

Remote - US (Pacific Northwest is highly preferred) Pay Rate: $80,000 - $95,000 About Addium Addium ... Serving 34,000+ global clients with 60M+ daily sensor readings, we turn raw data into actionable ...

ABB

Senior Project Engineer

Lewiston, ID · Remote

$99K - $129K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Lightcast

Manager, Talent Acquisition - 1055

Moscow, ID · Remote

The ideal candidate combines strong recruiting expertise with operational excellence, data-driven ... Experience recruiting in remote and distributed workforce environments is preferred. * Familiarity ...

Lightcast

Manager, Talent Acquisition - 1055

Moscow, ID · Remote

The ideal candidate combines strong recruiting expertise with operational excellence, data-driven ... Experience recruiting in remote and distributed workforce environments is preferred. * Familiarity ...

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Pullman, WA

Remote Data Analyst information

See Pullman, WA salary details

$33.2K

$80.7K

$132.9K

How much do remote data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote data analyst in Pullman, WA is $80,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Pullman, WA? The most popular types of Data Analyst jobs in Pullman, WA are:
What are popular job titles related to Remote Data Analyst jobs in Pullman, WA? For Remote Data Analyst jobs in Pullman, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Pullman, WA look for? The top searched job categories for Remote Data Analyst jobs in Pullman, WA are:
What cities near Pullman, WA are hiring for Remote Data Analyst jobs? Cities near Pullman, WA with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Pullman, WA as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $80,742 per year, or $38.8 per hour.

Data Engineer

University of Idaho Job

Moscow, ID • On-site, Remote

$85K/yr

Full-time

Posted 10 days ago

Job description

Position Information
Internal Posting? Posting Number SP005375P Position Title Data Engineer Division/College Information Technology Services Department Enterprise Applications Location Moscow, Off Campus Location - Possible hybrid/remote option Posting Context Statement
Join the University of Idaho's Office of Information Technology at the start of a multi-year data modernization initiative. As a Data Engineer, you will design and build ingestion pipelines, develop trusted data products, and help establish the architecture of our lakehouse platform. This is a hands-on role where you will work with stakeholders across data domains, contribute to foundational decisions, and see your work become the data layer powering institutional analytics and AI applications at a public R1 university.
Position Overview
The Data Engineer supports the design, development, and operation of the university's enterprise data platform. This position is focused on building the data pipelines, transformations and data products that power institutional analytics and decision-making on the lakehouse platform.
The Data Engineer will work closely with the Technical Product Manager for Enterprise Data, Data Governance Manager and institutional stakeholders to ingest, transform and serve data across the university's lakehouse. The position offers meaningful hands-on work with Databricks, Delta Lake, and cloud infrastructure in a collaborative, mission-driven environment.
Duties may include:
  • Building and maintaining data ingestion pipelines from enterprise source systems
  • Transforming raw data into clean, structured data products using medallion architecture principles
  • Supporting the Databricks lakehouse platform including Unity Catalog administration and pipeline monitoring
  • Collaborating with data consumers, analysts and product managers to define and deliver data products
  • Documenting data pipelines, data models and platform runbooks
  • Other duties as assigned
Unit URL
Join Office of Information Technology (OIT) | University of Idaho
Position Qualifications
Required Experience
  • Two years of experience in data engineering, software development or a closely related technical role
  • Demonstrated experience writing Python or SQL to process, transform or analyze data
  • Experience building or supporting data pipelines or ETL/ELT workflows in a production environment
Required Education
  • Bachelor's degree in Computer Science, Information Technology, Management of Information Systems or a related field; four additional years of experience (for a total of six years) may substitute for a Bachelor's Degree
Required Other
  • None
Additional Preferred
  • Three (3) or more years of experience in data engineering or a closely related technical field
  • Databricks Certified Data Engineer Associate or Professional certification
  • Bachelor's degree or higher in a technical field
  • Experience with:
    • Cloud-based data lakehouse platforms (Databricks preferred)
    • PySpark or distributed data processing frameworks
    • Data modeling patterns including medallion architecture, dimensional modeling or data vault concepts
    • ERP data structures in student, HR or finance domains (Banner/Ellucian preferred)
    • Cloud platforms
    • Source control and collaborative development workflows (Git, pull request reviews)
    • Data quality frameworks and tooling (e.g., dbt tests or similar)
    • BI platform connectivity and supporting analytical consumers (Power BI or similar)
    • Higher education technology environments and constituent-sensitive data
    • Agile development methodologies and sprint-based delivery
Physical Requirements & Working Conditions
  • None

Degree Requirement Listed degree qualification is required at time of application
Posting Information
FLSA Status Exempt Employee Category Exempt Pay Range $85,000.00 annually +DOE Type of Appointment Academic Year FTE
1
Full Time/Part Time Full Time Funding A visa sponsorship is available for the position listed in this vacancy. No Posting Date 07/17/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants
Position will remain open until a qualified pool of applicants is identified. Applications received on or before August 3, 2026, will receive first consideration.
Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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