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

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 ...

micro1 AI

Cheminformatics Specialist - Remote

Spokane, WA · On-site +1

$90 - $120/hr

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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $100/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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Trainee Remote Data Analyst information

See Spokane, WA salary details

$22.8K

$89.7K

$145.6K

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

As of Aug 17, 2026, the average yearly pay for trainee remote data analyst in Spokane, WA is $89,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $109,700.00 per year, depending on experience, location, and employer.

What is a trainee remote data analyst?

A Trainee Remote Data Analyst is an entry-level role where you learn to collect, clean, analyze, and interpret data to support business decisions. Working remotely, you typically use tools like Excel, SQL, and Python to identify trends and insights. The role involves training under experienced analysts, handling real-world datasets, and developing problem-solving skills. It’s a great starting point for a career in data analytics, offering flexibility and hands-on experience in a growing field.

What does a trainee remote data analyst do?

As a Trainee Remote Data Analyst, your day will often include cleaning and organizing datasets, running queries, generating reports, and assisting with data interpretation for business or project needs. You’ll likely attend virtual team meetings to discuss analysis results, receive mentorship, and align on ongoing tasks. The role also involves learning new data tools, following structured training programs, and collaborating with senior analysts to support broader analytics goals. This remote position requires proactive communication and the ability to manage your own workflow while working closely with distributed teams.

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

To thrive as a Trainee Remote Data Analyst, a foundational knowledge of statistics, data analysis, and spreadsheet tools—often gained through coursework or a related degree—is essential. Familiarity with data visualization software (like Tableau or Power BI), programming languages (such as Python or SQL), and basic understanding of databases are commonly required technical proficiencies. Strong problem-solving abilities, attention to detail, and effective time management help trainees excel in a remote setting. These skills and traits ensure accurate analysis, meaningful insights, and successful collaboration in virtual data-driven environments.

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Trainee Remote Data Analyst jobs near you

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 25 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:
None