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

SingleFile

RevOps Analyst (Remote)

Seattle, WA · Remote

$100K - $130K/yr

RevOps Analyst Location: Remote Reports to: CFO About the Role We're looking for a systems-minded ... This role is critical to improving forecasting accuracy, pipeline visibility, data quality, and GTM ...

Cisco

Director, Data Operations

Seattle, WA · On-site +1

$207K - $267K/yr

Anywhere in the US Hybrid if in San Jose CA or San Francisco, California Remote if no office is local. Meet the Team The Data Analytics and Operations team is responsible for transforming enterprise ...

Databricks

Principal Data Scientist

Seattle, WA · On-site +1

... are open to remote candidates in other locations. Databricks is looking for a Principal Data ... Produce deep strategic analyses on revenue, platform health, operational efficiency, and ...

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 ...

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 ...

New

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Our remote-first team spans the globe, united by a passion for innovation and great developer ... This is a hands-on analytical role focused on independent execution, deep-dive analysis, and ...

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.

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 ...

New

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

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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 Jul 10, 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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 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 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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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.

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 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

RevOps Analyst (Remote)

SingleFile

Seattle, WA • Remote

$100K - $130K/yr

Full-time

Re-posted 26 days ago

Job description

RevOps Analyst

Location: Remote

Reports to: CFO

About the Role

We're looking for a systems-minded RevOps Analyst to serve as the analytical backbone of SingleFile's go-to-market organization. This role is critical to improving forecasting accuracy, pipeline visibility, data quality, and GTM performance insights across Sales, Marketing, and Customer Success.

You will own the entire revenue operations function from the ground upnot just maintain dashboards, but diagnose problems, recommend improvements, and influence how our revenue engine operates.

What You'll Do

Revenue Insights & Systems Thinking

  • Build and maintain dashboards and reports across the sales funnel (MQL SQL Opportunity Closed Won)
  • Diagnose and solve revenue challenges using dataunderstand why conversion drops at specific stages, how compensation changes impact velocity, what drives forecast misses
  • Proactively surface revenue insights (not just respond to asks) "Here's a pipeline coverage problem emerging and here's how to fix it"
  • Deliver monthly revenue insights and strategic recommendations to Sales, Marketing, and Success leadership

Forecasting & Variance Analysis

  • Own the forecasting workflow end-to-end: design the process, support monthly forecasting cycles, conduct variance analysis (forecast vs. actuals)
  • Identify why forecasts miss and recommend improvements to increase accuracy (90%+ target)
  • Support board reporting and executive-level forecasting conversations

Data Quality & Hygiene

  • Audit CRM regularly to identify data quality issues and gaps
  • Document data standards and best practices; train Sales and Marketing teams on proper CRM usage
  • Build HubSpot workflows and automation to prevent bad data from entering the system
  • Drive adoption of data hygiene practices cross-functionally

Process Optimization & Standardization

  • Document and standardize sales processes (qualification criteria, pipeline stages, deal progression)
  • Identify inefficiencies in the revenue lifecycle and recommend improvements
  • Track compensation model impact on sales performance and outcomes

Systems & CRM Ownership

  • Own HubSpot configuration and optimization (custom properties, lifecycle stages, workflows, automation, integrations)
  • Partner with leadership on systems improvements and tooling decisions
What We're Looking For

Must-Have Experience

  • 5-7 years in Revenue Operations, Sales Operations, Business Operations, or similar analytical GTM role (with demonstrated ownership of pipeline reporting, forecasting, or process optimization)
  • Deep HubSpot expertise: Custom properties, workflow automation, lifecycle stage design, reporting/dashboards, integrations. You should be able to customize HubSpot without consulting the knowledge base
  • Advanced Excel / Google Sheets skills (pivot tables, complex formulas, scenario modeling)
  • Proven ability to improve forecast accuracy and pipeline visibility
  • Strong analytical and problem-solving skills; ability to explain variance and diagnose root causes
  • Excellent communication skills; ability to translate data insights into clear, actionable recommendations for non-technical stakeholders

Nice to Have

  • Experience with BI tools (Looker, Tableau, Power BI)
  • SQL knowledge (even read-only queries)
  • Experience in a high-growth SaaS environment (Series AC)
  • Familiarity with compensation models and impact analysis
  • Experience with marketing automation platforms (HubSpot Marketing Hub, Marketo, etc.)

Mindset & Traits

  • Systems thinker: Naturally understands how revenue operations connectpipeline flow, process optimization, data quality
  • Proactive problem-solver: Surfaces issues and recommends solutions without waiting for asks
  • Process-oriented: Naturally documents workflows, identifies inefficiencies, builds standards
  • Collaborator: Comfortable working cross-functionally with Sales, Marketing, and CS teams; able to influence without authority