Remote Data Analyst Jobs

Remote data analyst jobs are available now, but the useful question is whether the listing gives enough detail to compare pay, tools, and location rules before you apply. Remoote currently shows 239 searchable remote Data Analyst listings, including 124 with salary information across 152 companies, checked on July 7, 2026.

Data Analyst
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332 jobs found

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Shown 1-10 of 332
United StatesFull-TimeHuman ResourcesPosted
  • Develop and maintain robust recruiting analytics that provide leadership with actionable insights to improve talent acquisition performance.
  • Drive data-informed workforce planning by aligning hiring demand forecasts with recruiter capacity and operational priorities.
  • Improve decision-making through the delivery of meaningful talent intelligence, labor market insights, and performance reporting.
  • Lead strategic Talent Acquisition projects from concept through implementation, ensuring measurable business outcomes and sustainable adoption.
  • Strengthen reporting accuracy by establishing data governance practices and ensuring consistency across regional and global metrics.
  • Evaluate recruiting process effectiveness by measuring quality, speed, candidate experience, hiring manager satisfaction, and cost outcomes.
  • Identify performance gaps and opportunities by analyzing sourcing, coordination, and service delivery metrics across recruiting operations.
  • Partner with business leaders, HR teams, and external stakeholders to deliver scalable solutions that support organizational talent objectives.
Work from home anywhere in the PhilippinesFull-TimeConstruction Sales IntelligencePosted
  • Extract project, company, and contact data from BCI software, Estimate One, and other relevant sources.
  • Identify potential project opportunities aligned with company offerings.
  • Analyse construction and project data to identify trends, opportunities, and sales triggers.
  • Determine project status, timelines, and decision-making windows.
  • Prioritise leads based on project value, relevance, and likelihood to convert.
  • Prepare clear and concise sales intelligence reports for the sales team.
  • Provide decision-maker details, project insights, and recommended talking points to support sales engagement.
AustriaContractData AnalysisPosted
Online Data Analyst
Company:TELUS Digital
  • Enhance the content and quality of digital maps used worldwide.
  • Complete research and evaluation tasks within a web-based environment.
  • Verify and compare data sets.
  • Determine the relevance and accuracy of online information.
  • Perform tasks across diverse categories including maps, news, and audio.
DenverColoradoUnited States. Milwaukee+2 more locationsFull-TimeSaaS / Senior LivingPosted
Data Analyst, ECP Insights
Company:ECP(11-50 employees, Chemical, Wholesale, B2B)
  • Own client-facing analyses and dashboards end to end, from initial conversation through delivery.
  • Run discovery with customers to understand underlying needs and propose optimal technical approaches.
  • Design standard reporting for broad reuse across multi-tenant customer datasets.
  • Write SQL and Python or PySpark queries against large datasets in Databricks.
  • Contribute dbt models and collaborate with data engineering on upstream transformations.
  • Explain coverage, limitations, and methodology to customers.
  • Ensure the accuracy of all delivered reporting.
  • Turn recurring requests into standard product features in collaboration with product and engineering teams.
  • Handle protected health information in compliance with HIPAA.
DenverCO (remote); Las VegasNV (remote); Phoenix+3 more locationsFull-TimeDigital MarketingPosted
  • Audit existing reporting infrastructure to identify discrepancies and redundancies.
  • Standardize reporting suites across key business verticals.
  • Partner with Yield, Paid Media, and Account Management teams to conduct retrospective analyses.
  • Translate complex data sets into actionable business insights.
  • Own reporting infrastructure end-to-end, from raw data ingestion to dashboard delivery.
Remote - IrelandFull-TimeSales StrategyPosted
Lead Data Analyst
Company:HubSpot(1001-5000 employees, SaaS, Analytics, Marketing)
  • Diagnose sales performance and define KPIs for Directors and VPs.
  • Build and maintain reporting assets including scorecards and pipeline dashboards.
  • Design and lead core processes for forecasting, headcount, capacity, and territory planning.
  • Act as direct responsible individual (DRI) for cross-functional projects across Sales Strategy, Ops, and Finance.
  • Support the development of other analysts by creating documentation and reusable templates.
Based in the United StatesFull-TimeTelecommunications NetworkPosted
  • Support fiber optic and HFC network mapping activities using ArcGIS and ArcFM.
  • Develop, maintain, and improve GIS datasets, geodatabases, applications, and related spatial data infrastructure.
  • Collect, attribute, edit, clean, organize, and maintain spatial data and create digital and hard-copy map products.
  • Update parcel information using ArcGIS Pro, ArcMap, REGRID, and coordinate geometry techniques.
  • Provide advanced technical support for GIS-related projects, applications, and data requests.
  • Research records and interpret maps, aerial imagery, and construction as-builts to gather and validate spatial information.
  • Support the development of GIS specifications and standards for engineering, construction, maintenance, and operation of fiber and HFC routes.
  • Manage geospatial inventories of fiber and HFC infrastructure.
  • Apply knowledge of coordinate systems and geodetic projections when performing spatial analysis.
  • Collaborate with Legal, Market Expansion, design, and engineering teams to fulfill mapping and data requests.
Based in United StatesFull-TimePublic HealthPosted
  • Lead complex qualitative and quantitative analytical studies, interpret findings, and provide expert recommendations to support public health program evaluation and improvement.
  • Develop, integrate, clean, validate, and analyze evaluation datasets, ensuring analytical outputs are accurate, consistent, and reproducible.
  • Analyze implementation-related measures such as reach, fidelity, dose, adaptation, and contextual factors, and assess their relationships with program outcomes.
  • Conduct mixed-methods analyses that integrate qualitative and quantitative information to provide comprehensive program insights.
  • Support performance measurement and data extraction activities, including APR data and DPRP encounter-data analysis.
  • Integrate and analyze ADA/ADCES data, national-level secondary datasets, and other sources to support cross-site and program-level comparisons.
  • Establish data-quality processes, identify and document data-quality issues, and track corrective actions.
  • Communicate complex analytical findings through written reports, presentations, briefings, and technical memoranda.
RzeszówGdańskWarszawa+2 more locationsContractMarketing AnalyticsPosted
Marketing Data Analyst
Company:ROXart Agency
  • Configure and maintain analytics (GA4, GTM, DataLayer) in e-commerce and B2B/B2C projects.
  • Implement and verify standard and custom events to ensure data accuracy.
  • Deploy and configure marketing tracking tags (Google ADS, Meta ADS, TikTok ADS, LinkedIn ADS).
  • Conduct analytical audits and prepare actionable insights and recommendations.
  • Test implementations (GTM, GA4, user paths) to ensure correctness before deployment.
  • Collaborate with developers by defining analytical requirements and verifying implementations.
  • Configure and analyze Consent Mode impact on data and attribution.
  • Diagnose and resolve analytical issues such as data drift, missing events, or misattributions.
WarszawaWarszawaWarszawaCountry code: PLContractData AnalyticsPosted
Data Analyst
Company:Experis Manpower Group
  • Prepare realistic synthetic sample data, metadata, API payloads, glossary terms, reference data and data product examples.
  • Create positive and negative test packs to test compliance with standards and rules.
  • Define and assemble conformance evidence, including screenshots, metadata, catalogue entries, validation outputs and exception records.
  • Support conformance testing and record pass, fail, warning, exception and not applicable outcomes.
  • Identify whether issues are caused by failed requirements, poor test data, ambiguous wording or missing evidence.
  • Build adoption dashboards, conformance reports and operational reporting.
  • Feed test results and adoption insights back into the refinement of rules, wording, examples and evidence requirements.
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What should you check before applying to remote data analyst jobs?

Start with the evidence in the listing, not the job title alone. A strong remote data analyst post usually names the data stack, the reporting audience, the time-zone or country limits, and whether salary is visible. In the current Remoote Data Analyst results, 124 of 239 listings include salary information, so pay transparency is common enough to filter for, but not universal.

Data analyst roles can sit between business reporting, product analytics, finance operations, and analytics engineering. If a post focuses on dashboards, SQL, spreadsheets, and stakeholder reporting, it is likely closer to business analytics. If it asks for modeling, experiments, Python, or machine learning, compare it with remote data science jobs before deciding where your profile fits.

How should data analysts route their search on Remoote?

Use this page when your target title is specifically Data Analyst and you want the listings below to stay narrow. If you are open to adjacent technical roles, move up to the remote IT jobs hub, or compare roles that lean more toward infrastructure in remote DevOps engineer jobs. If your analytics experience is closer to planning, delivery, and stakeholder coordination, remote project manager jobs may surface better matches.

Salary and employer fit are separate checks. Use remote job salaries to compare compensation patterns, then review top remote companies when you want to shortlist employers with current remote hiring activity. Listings change as companies post and close roles, so verify the exact job details before spending time on a tailored application.

Which details separate a real remote analytics role from a weak listing?

A credible remote data analyst listing should explain what decisions your analysis will support: revenue reporting, product metrics, customer operations, finance, marketing, or internal BI. Treat vague “analyze data for business insights” copy as a prompt to look harder for stack, ownership, and reporting lines.

  • Tools: SQL, Excel or Google Sheets, Tableau, Power BI, Looker, Python, R, dbt, or warehouse experience should be tied to real tasks.
  • Remote constraints: remote does not always mean work from anywhere; check country, time-zone, and meeting-hour requirements.
  • Salary visibility: if salary is missing, decide whether the company, role scope, and application effort justify asking for range early.
  • Data access: legitimate roles explain hiring steps before requesting sensitive personal documents or unpaid analysis work.

Updated using current Remoote job listings checked on July 7, 2026. The 239-job count matches the Data Analyst title filter used by the listings on this page.

Remote Data Analyst Jobs FAQ

Remoote currently shows 239 searchable remote jobs using the Data Analyst title filter, checked on July 7, 2026. That count is a current listing count for this page, not a permanent market total, because employers add and close roles over time.

Some do, but not all. In the current Remoote Data Analyst results, 124 of 239 listings include salary information, checked on July 7, 2026. If pay is not shown, confirm the range early enough that you do not spend time on a role that cannot meet your needs.

Look for SQL, spreadsheets, BI tools such as Tableau, Power BI, or Looker, and clear reporting responsibilities. Python, R, experimentation, or machine-learning requirements may signal a role closer to data science, so compare the scope before applying.

Not necessarily. A data analyst role can be remote while still requiring a specific country, time zone, employment status, or overlap with business hours. Check the location rules and meeting expectations before assuming the role fits your schedule.

Search beyond Data Analyst when your experience points clearly toward another track. Modeling and experimentation may fit data science, infrastructure-heavy analytics may fit DevOps or analytics engineering, and stakeholder planning may fit project management. Use the adjacent Remoote pages linked above to compare the route before applying.

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