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Remote Data Analyst Jobs in Maple Valley, WA (NOW HIRING)

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 ...

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

New

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong ... Support root-cause analysis and corrective actions for production issues. * Maintain detailed ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Senior Associate Decision Scientist

Bellevue, WA · On-site +1

$66K - $66K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture of collaboration ... Position requires a Master's degree, or foreign equivalent, in Business Analytics, Applied Data ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Business Systems Analyst

Seattle, WA · Remote

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

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

Data Scientist

Seattle, WA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Posted today

Analyst

Seattle, WA · Remote

$70K - $80K/yr

  • Medical

  • Dental

  • Life

  • Retirement

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 ...

Solutions Analyst

Seattle, WA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 1-20

Remote Data Analyst information

See Maple Valley, WA salary details

$39.3K

$95.6K

$157.3K

How much do remote data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst in Maple Valley, WA is $95,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $112,200.00 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.

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

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

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Maple Valley, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $95,604 per year, or $46 per hour.

Sprinklr Social Analyst (Data Analyst)

IntelliPro Group Inc.

Seattle, WA • Remote

$48/hr

Contractor

Posted 16 hours ago

Posted today


Job description

Job Title: Data Analyst (Social Analyst)
Location: Seattle, WA
Position Type: Contracted - 06 Months
Work Type: 100% Remote
Pay Range: $48/-hr on W2.
Note: Sprinklr Tool experience required
About the team:
  • The Social Marketing team drives brand and business impact through best-in-class, data-driven social marketing.
  • They sit at the intersection of brand storytelling, performance marketing, innovation, and cultural relevance and partner cross-functionally across Brand, Creative, Product Marketing, Paid Marketing, Data Science, Communications, and external brand partners to build social programs that influence perception, drive measurable outcomes, and elevate leadership in these categories.
About the role:
  • Seeking a detail-oriented, analytically rigorous & AI- native Social Analyst to build and own the dashboard & reporting engine that powers our paid social decision-making.
  • This is a hands-on data and reporting role with significant strategic impact — you will design and maintain the infrastructure that translates raw campaign data into clear, actionable insights across our paid social programs.
This role requires a strong analytical operator who can:
  • Build scalable reporting systems and self-serve dashboards that empower the team to move faster
  • Design and maintain rigorous measurement frameworks across attribution, incrementality, and experimentation
  • Ensure data accuracy, governance, and consistency across all reporting surfaces
  • Identify gaps in measurement infrastructure and proactively recommend solutions
  • Enable faster, better-informed decisions through improved data access and collaboration
What You’ll Do
Reporting Ecosystem Ownership:
  • Own and evolve the full paid social reporting ecosystem, including dashboards, templates, and automated reporting workflows.
  • Build scalable, self-serve dashboards in Sprinklr and complementary tools that give stakeholders real-time access to performance data.
  • Develop and maintain standardized reporting cadences: weekly performance reports, campaign wrap-ups, and quarterly business reviews (QBRs).
Data Integration & Governance:
  • Manage data integrations across paid social platforms, site analytics tools, and brand study vendors to ensure a unified, reliable data environment.
  • Establish and enforce data governance standards — naming conventions, taxonomy, QA processes — to maintain accuracy and consistency across all reporting.
  • Partner with marketing technology and data engineering teams to troubleshoot data discrepancies and improve pipeline reliability.
Measurement Framework Design & Maintenance:
  • Design, implement, and maintain comprehensive measurement frameworks, including:
  • Build and maintain Sprinklr dashboards to track social performance across lines of business
  • Develop LOB-specific reporting views that meet stakeholder expectations and surface actionable insights
  • Maintain dashboard integrity through consistent tagging, taxonomy, and data hygiene standards
  • Pull and consolidate data across paid social platforms, site analytics, and brand studies into unified performance views
  • Surface clear, business-relevant insights that help LOB stakeholders make informed investment and optimization decisions
Nice to have:
  • Attribution models across full-funnel paid social activity
  • Conversion tracking and pixel governance
  • Incrementality testing and lift study design
  • A/B testing structures and experimentation protocols
Cross-Functional Partnership:
  • Serve as the primary measurement and analytics partner for the social team, translating data needs into actionable infrastructure.
  • Partner closely with marketing technology, data science, and platform partners (including Sprinklr) to build robust, scalable solutions.
  • Collaborate with paid social channel managers to understand reporting needs and close gaps in visibility.
Measurement Gap Analysis & Continuous Improvement:
  • Proactively identify gaps and blind spots in the current measurement ecosystem and develop recommendations for new tools, integrations, or methodologies.
  • Continuously evaluate and improve reporting automation to reduce manual effort and increase the speed of insight delivery.
  • Document measurement approaches and maintain a knowledge base that supports on boarding and institutional continuity.
Minimum Qualifications:
  • 5+ years of experience in digital marketing analytics, paid social measurement, or a closely related data/reporting role.
  • Required: Hands-on experience building and managing campaigns, reports, and dashboards within Sprinklr, including campaign setup, governance, and performance reporting.
  • Deep understanding of paid social measurement methodologies
  • Strong proficiency in platform ad managers (Meta, TikTok, YouTube, LinkedIn, etc.) and the ability to synthesize data across multiple platforms.
  • Experience building and maintaining automated dashboards and reporting pipelines; proficiency with data visualization tools.
  • Advanced analytical skills with the ability to work with large, complex datasets and surface clear, actionable insights.
  • Strong communicator — able to present data findings to cross-functional stakeholders in a clear, business-relevant way.
  • Highly organized and self-directed, with the ability to manage multiple work streams independently in a fast-paced environment.
  • Collaborative mind-set and comfort working cross-functionally with marketing technology, data science, and platform partner teams.
About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

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