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Student Data Analyst Remote Jobs in Spokane, WA (NOW HIRING)

ROI Agency

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 ...

ROI Agency

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 ...

Corporate Tools

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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $60/hr

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 ...

Corporate Tools

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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Student Data Analyst Remote information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

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

As of Jul 27, 2026, the average yearly pay for student data analyst remote 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 are some typical challenges faced by remote student data analysts, and how can they be addressed?

Remote student data analysts often encounter challenges like collaborating across time zones, staying motivated without onsite supervision, and maintaining clear communication with team members and mentors. To overcome these obstacles, it's helpful to establish a structured daily routine, use collaborative platforms such as Slack or Teams, and proactively schedule regular check-ins with supervisors. Additionally, documenting workflows and sharing progress updates can enhance transparency and keep projects on track. Building a reliable support network within the organization also ensures you have guidance and resources when you need them.

What is a Student Data Analyst Remote job?

A Student Data Analyst Remote job involves analyzing and interpreting data related to student performance, enrollment, or other educational metrics while working remotely. Responsibilities may include cleaning and organizing data, creating reports, and identifying trends to support decision-making. This role typically requires proficiency in data analysis tools like Excel, SQL, or Python, along with strong analytical and communication skills. It can be found in educational institutions, ed-tech companies, or research organizations.

What are the key skills and qualifications needed to thrive in the Student Data Analyst Remote position, and why are they important?

To excel as a Student Data Analyst Remote, you need a strong foundation in statistical analysis, data interpretation, and a basic understanding of data governance, often backed by coursework or a degree in statistics, mathematics, or a related field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required, while certifications in data analytics can be an advantage. Strong attention to detail, time management, and effective written communication skills are vital for remote collaboration and presenting findings. These competencies enable you to deliver accurate insights, meet project deadlines, and contribute effectively to distributed teams.

What are popular job titles related to Student Data Analyst Remote jobs in Spokane, WA? For Student Data Analyst Remote jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Student Data Analyst Remote jobs in Spokane, WA look for? The top searched job categories for Student Data Analyst Remote jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Student Data Analyst Remote jobs? Cities near Spokane, WA with the most Student Data Analyst Remote job openings:
Student Data Analyst Remote jobs near you
Infographic showing various Student Data Analyst Remote job openings in Spokane, WA as of July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,559 per year, or $40.2 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Posted 4 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.

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