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Remote Data Analytics Consultant Jobs in Spokane, WA

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 ...

Workiva

Spring 2027 Intern - Data Analytics

Spokane, WA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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 ...

EnthuZiastic

Growth Hacker - Remote

Spokane, WA · Remote

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 ...

micro1 AI

Pharmacovigilance Expert

Spokane, WA · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Pharmacovigilance Expert

Spokane Valley, WA · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Clinical Pharmacy Technicians

Spokane, WA · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Lantern

Strategy Analyst

Spokane, WA · Remote

... consulting firm (McKinsey, BCG, Bain, or similar) or a high-growth startup. This is a remote-first ... Analyze claims and cost savings data to drive insights for reporting and product improvement

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Remote Data Analytics Consultant information

See Spokane, WA salary details

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How much do remote data analytics consultant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data analytics consultant in Spokane, WA is $45.39, according to ZipRecruiter salary data. Most workers in this role earn between $30.62 and $60.77 per hour, depending on experience, location, and employer.

What does a remote data analytics consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

What are the key skills and qualifications needed to thrive as a remote data analytics consultant?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

How do remote data analytics consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

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

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Remote Data Analytics Consultant jobs near you

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/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:
None