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Remote Data Analyst Fresh Graduate Jobs in Spokane, WA

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter ... This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ...

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Remote Data Analyst Fresh Graduate information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do remote data analyst fresh graduate jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data analyst fresh graduate in Spokane, WA is $83,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst, particularly for fresh graduates, is responsible for collecting, processing, and analyzing data to help organizations make informed decisions—all while working from a remote location. They use statistical tools and software like Excel, SQL, or Python to interpret data sets, identify trends, and generate reports. Fresh graduates in this role often collaborate with teams online, learn new analytical methods, and contribute to projects while building their skills and experience. The position offers flexibility and the opportunity to work with diverse industries without needing to be onsite.

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

To thrive as a Remote Data Analyst Fresh Graduate, you need a solid understanding of statistics, data interpretation, and a relevant degree in fields like mathematics, statistics, or computer science. Familiarity with data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills, especially for remote collaboration and reporting insights. These skills and qualities are crucial for delivering accurate analyses and actionable recommendations in a distributed work environment.

What is the difference between Remote Data Analyst Fresh Graduate vs Remote Data Analyst?

AspectRemote Data Analyst Fresh GraduateRemote Data Analyst
Required CredentialsBachelor's degree in relevant field; internship or entry-level experienceBachelor's or higher; some roles prefer certifications like SQL or Python
Work EnvironmentRemote, entry-level position, often part-time or internshipRemote or hybrid, with more complex projects and responsibilities
Employer & Industry UsageStartups, entry-level roles in tech, finance, healthcareEstablished companies, mid-level to senior roles across industries

The main difference between a Remote Data Analyst Fresh Graduate and a Remote Data Analyst lies in experience and responsibilities. Fresh graduates typically have limited experience and focus on learning and supporting data tasks, while experienced analysts handle complex analysis, reporting, and decision-making. Both roles often require similar educational backgrounds, but the level of expertise and project scope distinguishes them.

What are some common challenges faced by fresh graduates working remotely as data analysts, and how can they overcome them?

Fresh graduates working remotely as data analysts often encounter challenges such as limited guidance, difficulty in understanding company data systems, and feeling isolated from team members. To overcome these, it is helpful to proactively schedule regular check-ins with supervisors, participate in virtual team meetings, and seek mentorship opportunities within the organization. Leveraging online collaboration tools and maintaining open communication can also help build relationships and ensure efficient workflow, even when working from different locations.
What are the most commonly searched types of Data Analyst Fresh Graduate jobs in Spokane, WA? The most popular types of Data Analyst Fresh Graduate jobs in Spokane, WA are:
What are popular job titles related to Remote Data Analyst Fresh Graduate jobs in Spokane, WA? For Remote Data Analyst Fresh Graduate jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Fresh Graduate jobs in Spokane, WA look for? The top searched job categories for Remote Data Analyst Fresh Graduate jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Remote Data Analyst Fresh Graduate jobs? Cities near Spokane, WA with the most Remote Data Analyst Fresh Graduate job openings:

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Re-posted 15 days ago


Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements null