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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292 jobs found

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Shown 1-10 of 292
Remote - USAFull-TimeHealthcare TechnologyPosted
  • Proactively identify and monitor healthcare facilities to locate and quantify clinical data gaps.
  • Conduct deep-dive analyses mapping facility-specific data across claims, clinical care summaries, and ADT messages.
  • Maintain transparent reporting on ADT coverage across geographic and technological dimensions.
  • Recommend and guide technical configurations for data vendors to optimize clinical data quality.
  • Evaluate potential new data integration technologies to assess viability and strategic fit.
  • Develop a data-driven framework for prioritizing facility targets for direct data acquisition.
  • Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption.
  • Partner with Product, Engineering, and Clinical teams to define requirements and validate data utility.
  • Act as a liaison to remove operational and technical bottlenecks in clinical data flows.
Remote U.S.Full-TimeTrust ManagementPosted
Senior Data Analyst, Strategic Finance
Company:Vanta(501-1000 employees, Internet, Artificial Intelligence (AI), Compliance)
  • Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions.
  • Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more.
  • Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows.
  • Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business.
  • Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights.
Based in the United StatesFull-TimeStrategic FinancePosted
  • Conduct deep, prioritized analyses that uncover strategic insights and inform high-impact financial and business decisions.
  • Serve as a technical and analytical partner to Finance, FP&A, Accounting, RevOps, Product, Marketing, and other cross-functional teams.
  • Translate complex datasets into clear recommendations that support planning, forecasting, investment decisions, and scalable growth.
  • Build self-service dashboards, reporting solutions, and reusable data assets that empower stakeholders to make informed decisions independently.
  • Identify opportunities to automate recurring financial and analytical deliverables, improving efficiency and scalability.
  • Partner with Data Engineering and analytics teams to improve data quality, accessibility, and the overall analytics infrastructure.
  • Communicate analytical findings clearly to both technical and non-technical audiences.
  • Use AI responsibly to accelerate analysis, automate workflows, and strengthen the quality of work.
CanadaFull-TimeFinancial ServicesPosted
  • Work with operational teams to develop analytic and business intelligence solutions.
  • Create complex stored procedures to extract and transform data for use in data analysis and process automation.
  • Become a Disability data subject matter expert.
  • Visualize and present data for management using software tools such as Microsoft Power BI.
  • Support ad-hoc requests for data and analysis from the business.
  • Partner with the Advanced Analytics team of Data Scientists on various projects.
United StatesFull-TimeFacilities ManagementPosted
Data Analyst
Company:Bodwé Seven Generations A+E
  • Manage, analyze, validate, and prepare facilities data supporting OTSG/MEDCOM operations and Medical Readiness.
  • Conduct data mining, routine analysis, modeling, and research using information from diverse sources.
  • Prepare ad hoc queries, reports, data calls, and analytical products based on government requirements.
  • Support the creation, maintenance, and updating of business intelligence dashboards supporting Army Medical Readiness.
  • Collaborate with MEDCOM, OTSG, project teams, and government stakeholders to understand analytical requirements and provide recommendations.
  • Plan and lead database and analytical process-improvement initiatives to improve data reliability and efficiency.
Remote from GMT-7 to GMT+4 timezonesWith restrictions for SerbiaFull-TimeHealthcare TechnologyPosted
  • Own and maintain dashboards used by product and customer teams across the product suite.
  • Translate user feedback and open questions into clearly defined and tracked metrics.
  • Identify and investigate product performance issues proactively through data analysis.
  • Collaborate with founders, product managers, engineers, and customer success to define measurement strategies.
  • Explain and interpret shifts in data to key stakeholders.
TaiwanTaipei; AustraliaBrisbane; Australia+3 more locationsFull-TimeBlockchain CryptocurrencyPosted
  • Analyze, mine, and model large volumes of business data to extract valuable insights.
  • Oversee high-performing data analyst team members while designing analytical models.
  • Develop complex visualizations and data systems to support regulatory compliance.
  • Collaborate with compliance stakeholders to identify, prioritize, and deliver on high-impact analytical use cases.
  • Analyze PB-scale transactional, operational, and customer data using proprietary and open-source tools.
  • Support business stakeholders by managing data requests and assessing the impact of business changes.
Remote - USAFull-TimeHealthtechPosted
  • Identify and monitor healthcare facilities to locate and quantify data gaps in clinical documents.
  • Conduct deep-dive analyses by mapping and correlating disparate data sources to uncover patterns of missingness or incongruence.
  • Maintain clear reporting on ADT coverage across geographic, organizational, and technological dimensions.
  • Recommend technical configurations for existing data vendors based on rigorous data flow and quality analysis.
  • Evaluate potential new data integration technologies through comprehensive proof-of-concepts.
  • Develop a data-driven framework for prioritizing facility targets for direct data acquisition.
  • Partner with Product, Engineering, and Clinical teams to define requirements and validate data utility.
RemoteFull-TimeFederal Financial TechnologyPosted
Systems & Data Analyst
Company:i360technologies
  • Support current-state assessment of financial systems, feeder systems (procurement, travel, payroll, asset, grants), interfaces, and data flows.
  • Contribute to system inventory documentation and Total Cost of Ownership (TCO) baselining for agency applications.
  • Document manual processes, workarounds, pain points, risks, and audit findings related to systems and reporting.
  • Support future-state design recommendations tied to modernization and automation opportunities.
  • Provide technical/systems input into Analyses of Alternatives for proposed solutions.
  • Coordinate with IT/technical teams on interface specifications and data flow documentation.
MexicoFull-TimeFinance TechnologyPosted
  • Partner with FP&A leadership to identify opportunities to fundamentally change reporting and analytical processes.
  • Reverse-engineer complex legacy Excel workbooks and manual processes to map business logic and data sources.
  • Design and build automated solutions using SQL, Python, ETL, APIs, and modern AI tools.
  • Resolve data quality, mapping, and reconciliation issues across large, multi-system datasets.
  • Develop interactive, AI-assisted dashboards and HTML-based reporting tools.
  • Build driver-based analysis and proactive exception-reporting workflows.
  • Collaborate with Data Engineering on infrastructure standards and data pipeline requirements.
  • Develop and shape documentation, conventions, and workflows for the internal FP&A AI repository.
Shown 1-10 of 292
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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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