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Remote Data Analyst Jobs in Renton, WA (NOW HIRING)

Sollucio Partners

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Business Systems Analyst

Seattle, WA · Remote

$90K - $110K/yr

Senior Business Systems Analyst - Data & Analytics Healthcare Payer Focus Location: Remote - Preference for candidates currently residing in Washington State. Candidates willing to relocate to ...

New

AAA Washington

Data Analytics Engineer

Bellevue, WA · On-site +1

$129K - $155K/yr

WHAT YOU'LL DO The Data Acquisition Engineer I builds and maintains data ingestion pipelines within ... We support hybrid and remote work options for many positions based in our corporate office ...

AAA Washington

Data Analytics Engineer

Bellevue, WA · On-site +1

$129K - $155K/yr

WHAT YOU'LL DO The Data Acquisition Engineer I builds and maintains data ingestion pipelines within ... We support hybrid and remote work options for many positions based in our corporate office ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Econ One Research, Inc.

Analyst

Seattle, WA · Remote

$70K - $80K/yr

Analysts work as part of a remote team on challenging and high-profile projects in a collegial work ... Clean, structure, and analyze data using Excel. * Build damages models and clear visualizations in ...

McKinstry

Business Operations Analyst

Seattle, WA · On-site +1

$28 - $45/hr

Analyze data for anomalies, trends and opportunities for improvement. * Complete impact analyses ... McKinstry Moves onsite gyms or reimbursement for remote workers See benefit plan documents for ...

Laird Norton Wetherby

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

Seattle, WA or San Francisco, CA, Remote (Full-time; Partially Remote or Remote) We are seeking a ... Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ...

Truveta

Solutions Analyst

Seattle, WA · On-site +1

Solutions Analyst Truveta is the world's first health provider led data platform with a vision of ... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ...

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and ... Write and optimize SQL queries and stored procedures for data transformation and analysis.

Initio Capital

AI Product Analyst

Seattle, WA · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

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Showing results 21-40

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Renton, WA

Remote Data Analyst information

See Renton, WA salary details

$38.2K

$93K

$153K

How much do remote data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data analyst in Renton, WA is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $109,100.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Renton, WA?

The most popular types of Data Analyst jobs in Renton, WA are:

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

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

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

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

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Renton, WA as of August 2026, with employment types broken down into 79% Full Time, 9% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,956 per year, or $44.7 per hour.

Business Systems Analyst

Sollucio Partners

Seattle, WA • Remote

$90K - $110K/yr

Full-time

Medical, Dental, Vision

Posted 3 days ago

New

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Job description

Senior Business Systems Analyst – Data & Analytics

Healthcare Payer Focus

Location: Remote – Preference for candidates currently residing in Washington State. Candidates willing to relocate to Washington may also be considered; relocation assistance is not provided.
Employment Type: Contract-to-Hire or Full-Time
Work Authorization: U.S. work authorization required

Position Summary

We are seeking a Senior Business Systems Analyst – Data & Analytics with deep healthcare payer experience and advanced SQL expertise to support complex enterprise data, analytics, and technology initiatives.

Prior healthcare payer experience and advanced SQL expertise are mandatory requirements for this position.

The Senior Business Systems Analyst will serve as a critical bridge between business stakeholders, data engineering teams, product owners, project managers, and technical teams. This individual will translate complex healthcare business requirements into actionable technical specifications while supporting data analysis, troubleshooting, data quality remediation, and enterprise technology initiatives.

The ideal candidate combines strong business analysis capabilities with the technical ability to independently investigate complex datasets using advanced SQL. Candidates should have experience working within modern enterprise data environments, including Azure and Snowflake, and be comfortable operating in a highly collaborative Agile/Kanban environment.

Prior enterprise AI experience is also required. Candidates should have experience participating in, supporting, or defining requirements for enterprise AI, machine learning, generative AI, or AI-enabled business/data solutions.

Mandatory Core Requirements

Candidates must demonstrate the following:

  • 7+ years of Business Systems Analysis or comparable enterprise technology experience
  • Healthcare payer experience, including familiarity with healthcare data and payer business processes
  • Advanced SQL expertise, including complex queries, joins, CTEs, window functions, data validation, troubleshooting, and root-cause analysis
  • Experience translating business requirements into detailed technical and functional requirements
  • Experience investigating and resolving complex data quality issues
  • Experience working with enterprise data platforms and ETL/data integration processes
  • Prior experience supporting enterprise AI or AI-enabled initiatives
  • Strong stakeholder communication and documentation skills

Candidates without meaningful healthcare payer experience or advanced hands-on SQL experience will not be considered.

Key Responsibilities

Business Systems Analysis & Requirements Gathering

  • Serve as a primary liaison between business stakeholders and technical teams, translating business needs into clear, actionable technical requirements.
  • Conduct detailed analysis to understand business problems, process gaps, data requirements, and opportunities for technology-driven solutions.
  • Lead stakeholder interviews, discovery sessions, and working meetings to elicit requirements, clarify objectives, and validate proposed solutions.
  • Develop and maintain comprehensive documentation, including:
    • Business and functional requirements
    • User stories and acceptance criteria
    • Business workflows
    • Data flow diagrams
    • Source-to-target mappings
    • Process documentation
  • Partner with development and engineering teams to evaluate technical feasibility and ensure requirements are interpreted and implemented accurately.
  • Identify dependencies, risks, gaps, and downstream impacts across complex initiatives.

Advanced SQL & Data Quality Troubleshooting

  • Write, analyze, and optimize advanced SQL queries to support data validation, troubleshooting, root-cause analysis, production support, and ad-hoc business requests.
  • Work extensively with complex healthcare datasets to identify discrepancies, patterns, and data integrity issues.
  • Investigate and resolve data quality problems across upstream and downstream systems.
  • Support trouble tickets involving:
    • Data discrepancies
    • Failed or inaccurate reports
    • ETL/data pipeline defects
    • Data transformation issues
    • Dashboard inconsistencies
  • Perform root-cause analysis and work with engineering teams to develop sustainable remediation strategies.
  • Partner with data engineering and data governance teams to improve data integrity across Azure and Snowflake environments.
  • Proactively identify opportunities to improve data pipelines, models, validation processes, and controls.

Healthcare Payer Data & Business Analysis

  • Apply healthcare payer knowledge when analyzing business requirements, datasets, system integrations, and operational processes.
  • Work with healthcare data involving areas such as:
    • Claims
    • Eligibility
    • Enrollment
    • Providers
    • Members
    • Risk adjustment
    • Quality measures
    • Care management
  • Understand the importance of healthcare data accuracy and its downstream impact on operations, regulatory reporting, analytics, quality programs, and member/provider services.
  • Collaborate effectively with healthcare business stakeholders who may not have technical backgrounds.

Enterprise AI Initiatives

  • Support enterprise AI and AI-enabled initiatives by translating business needs into functional and technical requirements.
  • Partner with business, data, engineering, security, and governance stakeholders to identify appropriate AI use cases.
  • Assist with requirements related to data availability, data quality, workflow integration, testing, governance, and adoption of AI-enabled solutions.
  • Help ensure AI initiatives align with enterprise business requirements, data standards, security expectations, and operational processes.

Project & Delivery Support

  • Operate effectively within a Kanban/Agile environment, managing multiple concurrent initiatives and evolving priorities.
  • Support backlog grooming, requirements refinement, sprint planning, and delivery tracking.
  • Maintain requirements, user stories, acceptance criteria, and project documentation within Jira and Confluence.
  • Track work across requirements, development, testing, and implementation.
  • Partner with Product Owners and Project Managers on:
    • Change control
    • UAT coordination
    • Risk and issue management
    • Dependencies
    • Delivery timelines
  • Provide concise status reporting covering progress, risks, blockers, dependencies, and upcoming milestones.

BI & Analytics Integration

  • Partner with reporting and analytics teams to align business logic, data definitions, and reporting requirements.
  • Support Tableau dashboards, SQL-based extracts, and enterprise analytics solutions.
  • Help standardize BI processes, master queries, business definitions, and semantic layers.
  • Support business analysts and power users with complex data exploration and ad-hoc analytical requests.

Documentation & Enablement

  • Produce clear, accurate, and user-friendly technical and business documentation.
  • Develop materials such as:
    • Process documentation
    • User guides
    • Training materials
    • Tip sheets
    • Data lineage diagrams
    • Business and technical workflows
  • Contribute to knowledge sharing and mentor team members on business analysis, requirements management, and technical troubleshooting best practices.

Minimum Qualifications

  • Bachelor's degree or equivalent combination of education and relevant professional experience.
  • 7+ years of progressive Business Systems Analysis, Systems Analysis, Data Analysis, or comparable enterprise technology experience.
  • Required healthcare payer experience.
  • Advanced hands-on SQL expertise, including complex joins, CTEs, window functions, subqueries, data validation, troubleshooting, and diagnostic/root-cause analysis.
  • Hands-on experience with Azure Data Services and Snowflake.
  • Strong understanding of relational databases, data modeling, ETL/ELT, and enterprise data integration.
  • Prior experience supporting enterprise AI, machine learning, generative AI, or AI-enabled business/data initiatives.
  • Experience developing user stories, acceptance criteria, functional requirements, and technical documentation.
  • Experience operating within Agile and/or Kanban delivery environments.
  • Experience using Jira and Confluence or comparable platforms.
  • Strong written and verbal communication skills with the ability to work across business and technical teams.

Preferred Qualifications

  • Deep healthcare payer experience involving claims, eligibility, enrollment, provider, member, risk adjustment, or quality data.
  • Experience supporting healthcare data governance, metadata management, data quality, or regulatory initiatives.
  • Experience with Tableau, Power BI, or comparable BI/visualization platforms.
  • Familiarity with Tableau Prep, dbt, Apache Airflow, or comparable data tools.
  • Knowledge of HIPAA, CMS requirements, HEDIS/NCQA quality measures, or other healthcare regulatory and quality frameworks.
  • Experience working with enterprise-scale data modernization or cloud migration initiatives.
  • Ability to manage multiple priorities and remain effective within a fast-paced, highly collaborative environment.

Geographic Preference

This position is remote; however, preference will be given to candidates currently residing in Washington State.

Candidates outside Washington who are willing to relocate may be considered. Relocation expenses or relocation assistance will not be provided.

Company Description

Founded in 2014, Sollucio Partners is a community-driven organization dedicated to solving challenges, fostering innovation, and supporting the communities we serve. Our mission is to create transformative services and products that enhance lives, improve businesses, and advance humanity.

4 Divisions (Advisory, Infotech, Recruiting, Ventures).

1.)Advisory
Provides strategic consulting to help organizations achieve goals, adapt to change, and align IT with business strategies: Fractional CIO Services: On-demand IT leadership. Assessments: Evaluations to identify improvement opportunities. Organizational Change Management: Guiding transitions while minimizing disruption. IT Alignment: Ensuring IT supports corporate strategy. Infotech (IT Services) Delivers efficient IT solutions to drive ROI:

2.) InfoTech
Data Management:
Privacy, sharing, and streaming solutions using technologies like Microsoft Fabric.
Cybersecurity:
Includes assessments, SOC 2 readiness, audits, and vCISO support to ensure data security and compliance.
Application Development:
Scalable systems for growth, leveraging nearshore teams in Costa Rica.

3.)Recruiting:
Specializes in connecting top talent with client needs: Proprietary Screening Methodology: Identifies the top 10% of candidates. Customized Talent Solutions: Executive searches, staffing, and consulting for long-term success.

4.)Ventures
Invests in innovative solutions to improve lives and communities: Perin Health: A telemedicine and wearable platform for real-time diagnostics. Real Estate: Investments fostering community growth and development.

Community Focus:
We actively support communities where we operate by donating annually to impactful organizations, including Providence Hospice, Sr. Community Services, and Camp Agape.

Vision
We are innovators and changemakers. Through our divisions—Advisory, Infotech, Recruiting, and Ventures—we strive to transform industries, support communities to move humanity forward.