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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252 jobs found

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Shown 1-10 of 252
Based in United StatesFull-TimeMedical Devices, BiotechPosted
  • Develop, maintain, and automate complaint analytics dashboards, reports, and statistical trend analyses.
  • Ensure the accuracy, integrity, and governance of complaint and quality system data.
  • Provide analytical support for complaint investigations, root cause analysis, risk management, and CAPA effectiveness evaluations.
  • Collaborate with Quality Assurance, Regulatory Affairs, Product Development, Manufacturing, and Engineering teams.
  • Support internal and external audits, regulatory inspections, and compliance activities.
  • Improve business intelligence capabilities by identifying opportunities for automation and data-driven decision-making.
Europe, AsiaFull-TimeGaming, Data AnalyticsPosted
  • Analyze player behavior across the full lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
  • Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.
  • Design and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and result interpretation.
  • Measure the performance of game features, promotions, events, bonuses, and campaigns.
  • Define and maintain key product metrics and analytical frameworks for different games and player segments.
  • Build dashboards and recurring reports that allow stakeholders to monitor product performance and make timely decisions.
  • Investigate unusual changes in KPIs and determine their underlying causes and business impact.
  • Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
  • Partner with Product Managers and game teams to define analytical requirements before launching new features or initiatives.
  • Work with Data Engineers to improve data quality, tracking coverage, data models, and analytical datasets.
Candidates located in the United States or CanadaFull-TimeLife SciencesPosted
  • Ensure accurate and timely delivery of customer data following data generation and quality control processes.
  • Finalize customer data reports and create clear, insightful visualizations to support scientific decision-making.
  • Develop and maintain standard reporting workflows for customer projects.
  • Support customer onboarding and provide ongoing assistance with data platform usage, troubleshooting, and general inquiries.
  • Act as a key customer contact by understanding research needs, gathering feedback, and ensuring successful project outcomes.
  • Translate customer insights into recommendations for product improvements, new analysis capabilities, and platform enhancements.
  • Serve as a user tester for data tools and platforms, identifying bugs and suggesting improvements.
  • Collaborate with data, product, and development teams to troubleshoot issues and optimize analytical workflows.
  • Build customized data analysis pipelines for internal improvements, quality assurance, research collaborations, and unique customer requests.
  • Manage multiple customer projects simultaneously while maintaining quality, accuracy, and delivery timelines.
Можливість обирати між роботою в офісі (Київ або Львів) та remote-first форматом (Україна та закордон)Full-TimeEdTech Productivity WellnessPosted
  • Analyze marketing, product, and payment data to identify growth opportunities and inform development decisions.
  • Manage revenue streams by analyzing subscription data, pricing, and duration to optimize income.
  • Research product metrics and their drivers to understand their impact on business results.
  • Identify user behavior patterns to formulate hypotheses and uncover new product opportunities.
  • Develop analytical reports and dashboards to provide clear insights for team decision-making.
Remote USFull-TimeHealth TechPosted
Senior Data Analyst, Go-To-Market
Company:Hello Heart(101-250 employees, mHealth, Medical, Fitness)
  • Partner with cross-functional teams, including Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success, to understand business needs and deliver actionable analyses.
  • Proactively explore data to identify patterns, trends, and opportunities that can drive business growth and operational improvements.
  • Define and manage data collection requirements across systems and functions to support consistent reporting and insight generation.
  • Develop, optimize, and automate data pipelines using SQL, AI, and modern data engineering tools to deliver timely, accurate reporting at scale.
  • Build and maintain robust, interactive dashboards that enable self-service reporting across go-to-market and product teams.
  • Identify opportunities to improve processes, reduce manual work, and drive efficiencies across the data landscape.
  • Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives and external partners.
  • Partner with data scientists, analysts, and engineers to improve data quality, reporting accuracy, and analytical consistency across the organization.
Poland. United Kingdom. SpainFull-TimeBeauty MarketplacePosted
Senior Product Data Analyst
Company:Booksy(501-1000 employees, Mobile Payments, Marketplace, SaaS)
  • Drive insights by understanding funnels, ecosystems, user behaviors, and long-term trends to identify opportunities for product improvements.
  • Define and analyze key metrics to monitor product success and health.
  • Identify growth opportunities and remove barriers to adoption, retention, engagement, or monetization via quantitative analysis and data mining.
  • Prepare and monitor reports to contribute to Product Team objectives.
  • Cooperate with Product Teams to support data-driven product decisions.
  • Lead data management and reporting automation efforts in collaboration with BI and Data Engineering teams.
  • Take end-to-end ownership of complex business challenges.
  • Consult with senior stakeholders to determine analytical approaches and deliver actionable insights.
  • Mentor less experienced analysts and contribute to domain development.
Source API remote eligibility restrictions: SpainFull-TimeVacation Rental TechnologyPosted
  • Unify data from key sources (Personio, Lever, 15Five) into a trusted source of truth with high standards for data quality and GDPR compliance.
  • Own core People metrics and build dashboards to provide deep-dive analysis.
  • Act as a strategic partner to senior leaders, translating business questions into measurable insights.
  • Raise overall data literacy across the organization.
  • Turn survey and feedback signals into clear recommended actions.
  • Build scalable reporting processes to reduce manual work.
Based in United StatesFull-TimeHealthcare TechnologyPosted
  • Gather, clean, organize, and integrate data from multiple sources while maintaining accuracy and data integrity.
  • Use SQL extensively to transform, analyze, and structure datasets for reporting and business insights.
  • Apply analytical techniques using tools such as Excel, SQL, and visualization platforms to identify trends, patterns, and anomalies.
  • Build and maintain dashboards, reports, charts, and visualizations to communicate insights clearly to stakeholders.
  • Proactively identify opportunities, gaps, and trends through independent analysis.
  • Collaborate with teams across operations, finance, customer success, and other business functions to understand data needs.
  • Develop and monitor key performance indicators (KPIs) to measure business initiatives and operational effectiveness.
  • Recommend improvements to data collection, reporting processes, and analytical workflows.
  • Translate complex data findings into clear recommendations that support business and healthcare outcomes.
IndiaFull-TimeData AnalyticsPosted
  • Design, build, and maintain interactive dashboards and business intelligence reports using modern visualization tools.
  • Analyze operational, sales, recruiting, and financial data to uncover trends, opportunities, and performance insights.
  • Develop scalable reporting systems, data models, and KPI frameworks to support business growth.
  • Validate data accuracy and maintain data integrity across multiple platforms and business units.
  • Build cloud-based workflows and automation processes to streamline reporting and reduce manual effort.
  • Leverage AI tools to improve reporting efficiency, automate workflows, and support data-driven initiatives.
  • Perform SQL-based data extraction, transformation, validation, and reporting.
  • Support API integrations between business platforms and troubleshoot data connectivity issues.
  • Document reporting processes, technical workflows, and analytics solutions to ensure consistency and scalability.
  • Collaborate with leadership and cross-functional teams to continuously improve reporting capabilities and operational performance.
United StatesFull-TimeRadiation OncologyPosted
  • Prepare and evaluate treatment planning contours using current clinical guidelines and best practices in radiation therapy.
  • Apply medical dosimetry expertise to support the development and refinement of AI-based contouring models.
  • Maintain awareness of evolving contouring standards, protocols, and radiotherapy treatment planning practices.
  • Review and verify trained AI models to ensure clinical accuracy, reliability, and readiness for healthcare use.
  • Identify improvement opportunities and provide recommendations to enhance model performance and clinical acceptance.
  • Generate verification and validation testing documentation and results.
  • Collaborate with product leaders, engineering teams, and clinical stakeholders on research and development initiatives.
  • Support data and research projects that advance treatment planning automation and workflow improvements.
  • Organize clinical requirements and communicate insights across multidisciplinary teams.
  • Contribute to the continuous improvement of AI-driven radiation oncology solutions.
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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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