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Remote Data Analyst Jobs

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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313 jobs found

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Shown 1-10 of 313
Location: WashingtonDC; Workplace Type: RemoteFull-TimeFederal data analyticsPosted
Senior Data Analyst
Company:Accenture Federal Services(Management Consulting, Consulting, Online Portals)
  • Analyze complex datasets to identify trends, patterns, and insights.
  • Develop dashboards and visualizations using Databricks, Tableau, Power BI, and MS Excel.
  • Prepare detailed analytical reports and recommendations for stakeholders.
  • Clean, manipulate, and transform large datasets.
  • Query databases using SQL for data extraction and analysis.
  • Apply predictive analytics or machine-learning techniques when appropriate.
  • Participate in agile delivery processes, including user story documentation and testing.
SQLMicrosoft Power BITableau+5 more

103k - 196k USD per year

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This is a remoteFull-time position from the UKIrelandOr the EU.Full-TimeEcommerce UXPosted
Market Research Data Analyst
Company:Baymard Institute
  • Research industries, consumers, and ecommerce experiences to investigate.
  • Translate research objectives into clear, testable research questions.
  • Design questionnaires, including wording, response scales, structure, branching, and screening criteria.
  • Identify appropriate respondent audiences, quotas, and sample requirements.
  • Program and QA surveys using Alchemer, including logic, quotas, branching, and redirects.
  • Coordinate with sample providers on feasibility, targeting, and setup.
  • Monitor fieldwork and assess incoming responses for data-quality issues.
  • Clean, structure, and analyze survey datasets, including comparisons across questions and respondent segments.
  • Create charts and synthesize findings into concise, evidence-based insights.
Microsoft ExcelMarket ResearchGoogle Sheets
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IndonesiaFull-TimeData analyticsPosted
Data Analyst & Visualization Specialist
Company:Toplent
  • Build and maintain scalable data models in BigQuery and Looker Studio.
  • Develop dashboards and reports for board-level decisions.
  • Automate monthly reporting processes and implement data validation logic.
  • Integrate AI and automation into analytics workflows.
  • Monitor data accuracy, quality, and timeliness across reports and dashboards.
  • Suggest and implement improvements to analytics processes.
  • Build and optimize automated data pipelines for data collection and integration.
  • Collaborate with stakeholders to translate business needs into data-driven solutions.
  • Document insights and ensure data accuracy, consistency, and security.
  • Stay current with tools, methodologies, and best practices in data analysis and visualization.
PythonSQLBusiness Intelligence+3 more
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Source API remote eligibility restrictions: United StatesFull-TimeData analyticsPosted
Data Analyst
Company:Everglade Works
  • Analyze large datasets from internal tools, external databases, APIs, and other sources to identify patterns and insights.
  • Build and maintain dashboards and reports using Tableau, Power BI, Google Data Studio, or similar tools.
  • Work with business leaders to identify KPIs and develop data-tracking frameworks.
  • Write SQL queries to extract and manipulate data, and automate routine reports.
  • Interpret results and provide actionable recommendations to improve business performance.
  • Collaborate with cross-functional teams to define data requirements and optimize data-driven processes.
  • Perform ad-hoc analysis and provide tailored solutions to data challenges.
  • Audit and validate data to ensure quality and accuracy.
  • Present findings and recommendations to non-technical stakeholders.
  • Work with Data Engineers to streamline data collection, storage, and analysis.
PythonSQLMicrosoft Power BI+5 more
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Workable workplace: remote; Workable locations: United StatesFull-TimeMarketing analyticsPosted
Senior Databricks Data Analyst
Company:Stitch
  • Query and analyze client data in Databricks using SQL and, where needed, Python across silver and gold layers.
  • Connect data sources, set up simple ingestion, and partner with data engineers on complex pipeline builds.
  • Build and maintain dashboards, reporting, and Genie spaces for client marketers.
  • Interpret data and present prioritized recommendations to marketing and data stakeholders.
  • Build support for recommendations, align stakeholders, and follow through until changes are implemented and measured.
  • Design KPI frameworks, segmentation and lifecycle strategies, and support identity and customer 360 work.
  • Profile data sources, validate data quality, and test customer identity and 360 outputs with data engineers.
  • Reconcile audiences and data between Databricks and activation platforms such as Braze, and investigate count discrepancies.
  • Run data audits and readiness assessments and present findings to client marketing, data, and IT leaders.
  • Partner with project managers, architects, and data engineers; contribute reusable queries, dashboard templates, assessment tools, and analytics accelerators.
PythonSQLMicrosoft Power BI+6 more
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Remote Canada; Remote Germany; Remote UKFull-TimeBrowser softwarePosted
Senior Data Analyst
Company:Mozilla(5001-10000 employees, Internet, Open Source, Web Browsers)
  • Create and maintain overview dashboards that make performance data usable for Product Managers and leadership.
  • Audit the Gecko codebase to identify missing telemetry collection points or probes.
  • Develop methods and tools to identify and filter data inconsistencies, including bot traffic and hardware-specific noise.
  • Analyze correlations between technical performance shifts, including LCP and eTLD+1, and user-facing pain points and engagement trends.
  • Focus on Gecko engine telemetry across desktop and Android.
  • Collaborate with the Performance Team, Data Team, and Product Leadership.
SQLData visualizationBigQuery

93k - 125k CAD per year

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Remote - USFull-TimeTravel technologyPosted
Sr. Data Analyst - Finance
Company:Engine
  • Partner with product, engineering, and design stakeholders to lead metrics definition, reporting, and analyses.
  • Lead analytics projects and derive insights to improve product and business performance.
  • Design and build statistical analyses to answer business questions and support product functionalities.
  • Participate in product and growth experiments.
  • Build and maintain data pipelines for product and business metrics.
  • Collaborate with data engineers to establish data assets and feature stores for automation, advanced analytics, and machine learning models.
  • Manage business intelligence reporting dashboards.
  • Use advanced SQL to explore large datasets and analyze pricing and business performance.
  • Investigate open-ended business questions, identify patterns, quantify opportunities, and recommend strategic pricing decisions.
  • Translate analytical findings into clear insights for senior leadership and partner with product, pricing, and engineering teams to validate hypotheses.
SQLBusiness IntelligenceData Analysis+2 more

Base Pay Range $131,500 — $154,700 USD

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Remote within UKContractCybersecurity softwarePosted
Associate Data Analyst
Company:Immersive(251-500 employees, Developer Tools, Developer Platform, Cyber Security)
  • Design and monitor systems for business analysis and data recording.
  • Support Sales, Marketing, and Customer Success with analysis to help them achieve their targets and objectives.
  • Enforce data governance standards and best practices to maintain data integrity.
  • Identify opportunities for process improvement and provide data-driven recommendations.
SQLData AnalysisSalesforce+2 more
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Based in United StatesFull-TimeData analyticsPosted
Senior Data Analyst
Company:Jobgether(11-50 employees, Internet)
  • Design, build, and maintain dashboards, reports, and analytical tools using Looker, Sigma, Tableau, Power BI, or similar technologies.
  • Partner with cross-functional teams to deliver analysis for strategic and operational decisions.
  • Analyze customer and user behavior across activation, conversion, engagement, retention, churn, and feature adoption.
  • Identify product opportunities, funnel drop-offs, friction points, and performance trends.
  • Automate recurring reports and data workflows using SQL, dbt, and scripting tools.
  • Support the accuracy and reliability of reporting pipelines, data marts, dashboards, and analytical data.
  • Develop custom data solutions and present findings to business customers in French and English.
  • Use AI tools and APIs to accelerate analysis, automate workflows, and improve stakeholder self-service.
  • Explore AI-enabled analytics use cases and validate outputs for accuracy, privacy, and business relevance.
  • Share analytics best practices and contribute to analytics initiatives and forums.
PythonSQLMicrosoft Power BI+4 more

Monthly compensation range of MX$80,000–MX$85,000, with equity offered.

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Based in CanadaFull-TimeOnline marketplacePosted
Data Analyst, Platform Excellence Ops Analytics
Company:Jobgether(11-50 employees, Internet)
  • Monitor retailer performance across fulfillment quality dimensions and develop dashboards and processes to support issue diagnosis and retailer launches.
  • Analyze fluctuations, anomalies, and outliers in retailer quality metrics to identify root causes and recommend corrective actions.
  • Work with large datasets and independently design and execute analytical plans to identify and reduce fulfillment quality issues.
  • Support analytics requests, ad hoc retailer analyses, launch impact assessments, and retailer escalations.
  • Help size initiatives for product and analytics roadmaps.
  • Present analytical findings as clear narratives for business and technical stakeholders.
  • Partner with product, engineering, operations, and other teams to turn recommendations into scalable process and product improvements.
  • Establish proactive monitoring to address emerging quality issues.
SQLSnowflakeJira+6 more

$81,000–$85,500 CAD

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Shown 1-10 of 313
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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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