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Remote Shopify 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 ...

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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All JobsShopify Data Analyst JobsRemote Shopify Data Analyst JobsRemote Shopify Data Analyst Jobs in Spokane, WA

Remote Shopify Data Analyst information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

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

As of Aug 23, 2026, the average yearly pay for remote shopify data analyst 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 Shopify data analyst do?

A Remote Shopify Data Analyst is responsible for collecting, analyzing, and interpreting data from Shopify stores to help businesses make informed decisions. They use various tools and techniques to track sales, customer behavior, and website performance, providing actionable insights to improve eCommerce strategies. Working remotely, they collaborate with teams to generate reports, identify trends, and recommend optimizations for better store performance and increased revenue.

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

To thrive as a Remote Shopify Data Analyst, you need strong analytical skills, experience with e-commerce data, and proficiency in data visualization and statistical analysis, often supported by a degree in data science, statistics, or a related field. Familiarity with Shopify analytics tools, SQL, Excel, and BI platforms like Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for remote collaboration and actionable insights delivery. These competencies ensure accurate data-driven decisions that drive sales growth and optimize online store performance.

How does a remote Shopify data analyst typically collaborate with cross-functional teams to drive data-driven decisions?

Remote Shopify Data Analysts frequently work alongside marketing, sales, and product teams to translate data insights into actionable strategies. Collaboration often occurs through virtual meetings, shared dashboards, and project management tools, ensuring everyone stays aligned on goals and progress. Analysts are expected to not only analyze store performance and customer behavior but also clearly communicate findings and recommendations to non-technical stakeholders. This collaborative approach helps teams optimize campaigns, improve user experience, and ultimately boost store performance.

What is the difference between Remote Shopify Data Analyst vs Remote E-commerce Data Analyst?

AspectRemote Shopify Data AnalystRemote E-commerce Data Analyst
Required SkillsShopify platform knowledge, data analysis, Excel, SQLGeneral e-commerce platforms, data analysis, Excel, SQL
Work EnvironmentPrimarily Shopify stores, online retailVarious e-commerce sites, multiple platforms
Industry UsageSpecific to Shopify-based businessesBroader e-commerce industry
CertificationsShopify certifications, data analysis certificationsGeneral data analysis certifications, e-commerce courses

The Remote Shopify Data Analyst specializes in analyzing data specifically for Shopify stores, focusing on platform-specific metrics and tools. In contrast, a Remote E-commerce Data Analyst works across various online retail platforms, offering broader industry insights. Both roles require strong data analysis skills and familiarity with e-commerce metrics, but the Shopify Data Analyst is more niche, often sought by Shopify store owners and agencies.

What are popular job titles related to Remote Shopify Data Analyst jobs in Spokane, WA?

For Remote Shopify Data Analyst jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Remote Shopify Data Analyst jobs in Spokane, WA look for?

The top searched job categories for Remote Shopify Data Analyst jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Remote Shopify Data Analyst jobs?

Cities near Spokane, WA with the most Remote Shopify Data Analyst job openings:

Remote Shopify Data Analyst jobs near you
Infographic showing various Remote Shopify Data Analyst job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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

$117K - $140K/yr

Full-time

Re-posted yesterday

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