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 187 searchable remote Data Analyst listings, including 80 with salary information across 142 companies, checked on May 27, 2026.

Data Analyst
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232 jobs found

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Position is remote within USFull-TimeWorkforce AnalyticsPosted
Data Analyst
Company:ActivTrak(101-250 employees, Information Services, Business Intelligence, SaaS)
  • Design, develop, and optimize dashboards using Power BI, Looker Studio, Tableau, or similar tools.
  • Create interactive reports that translate productivity data into operational insights for ActivTrak customers.
  • Support data integration with third-party systems to enhance reporting capabilities.
  • Partner with engineers to validate data accuracy, integrity, and consistency.
  • Implement data validation processes to maintain high-quality analytical outputs.
  • Conduct deep analysis of workforce and productivity trends using SQL and Python.
  • Deliver data-driven recommendations that empower customers to optimize performance and decision-making.
  • Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQuery.
  • Ensure timely and accurate responses to ad-hoc data needs.
  • Collaborate on the development and refinement of productivity measurement frameworks.
Remote within EuropeFull-TimeE-commerce marketplacePosted
  • Analyze fulfilment workflows to identify bottlenecks across the supply chain.
  • Design, build, and maintain automated dashboards tracking key fulfillment KPIs.
  • Write and own complex SQL queries to extract, transform, and analyze datasets.
  • Generate clear, actionable insights and recommendations to drive decision-making.
  • Partner with Operations, Logistics, Product, and Data teams.
  • Work with Data Engineers to ensure data is clean, well-structured, and scalable.
  • Monitor data integrity and resolve discrepancies.
  • Track key fulfilment KPIs and investigate root causes of performance issues.
  • Use AI tools to accelerate analysis and automate tasks.
EU based/Remote; Location: Poland; Secondary Locations: PolandSpainFull-TimeWeb HostingPosted
  • Partner with Product teams to reveal untapped potential and empower data-driven choices.
  • Use Amplitude to analyze user journeys and conduct A/B tests.
  • Use SQL and Tableau to extract and analyze data.
  • Build dashboards to provide team visibility and ensure data integrity.
  • Use internal AI data agents to surface business recommendations.
  • Collaborate with Data Platform team to ensure data availability and project execution.
Remote - AmericasFull-TimeFinancial ServicesPosted
  • Translate ambiguous business and operational questions into clear, useful analytical outputs.
  • Build and own analytics data models using SQL against PostgreSQL, Trino, and Apache Iceberg.
  • Build and iterate on metrics and tables using dbt.
  • Develop dashboards in Metabase to track transaction volumes, revenue streams, and system performance.
  • Use SQL and Python (Jupyter notebooks) to investigate trends, anomalies, and P&L calculations.
  • Identify opportunities to transition ad-hoc requests into self-serve environments.
  • Streamline report automation and drive standardization of data reporting.
Remote (U.S. Only)Full-TimeData AnalyticsPosted
  • Gather, clean, and analyze large datasets to identify trends and insights.
  • Develop dashboards, reports, and visualizations using tools like Tableau, Power BI, or Looker.
  • Work with cross-functional teams to support data-driven decision-making.
  • Perform statistical analysis and create predictive models when necessary.
  • Ensure data accuracy, integrity, and security across platforms.
  • Collaborate with engineers to optimize data pipelines and reporting processes.
  • Present findings to stakeholders in a clear, actionable manner.
United StatesFull-TimeData AnalyticsPosted
  • Extract data from various data sources, including databases and data systems, for reporting and analysis purposes
  • Develop, modify, maintain and support reports and dashboards to meet the specific needs of the varying departments and teams to all levels of leadership
  • Ensure a high quality/accuracy/standard of work and service throughout
  • Interpret data, analyze results using statistical techniques
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Develop compelling, logically structured presentations including story telling of research/analytics findings
  • Assist with the development of actionable recommendations
USAFull-TimeEducation TechnologyPosted
  • Engage with school district leaders and educators to understand their data analytics needs
  • Educate diverse stakeholders on dashboard usage and data interpretation
  • Design and develop customized metrics and dashboards
  • Utilize SQL for database management and queries
  • Troubleshoot, diagnose, and resolve platform and data quality issues
  • Collaborate with data scientists, engineers, and Product to enhance the data platform
Argentina. SerbiaFull-TimeData SciencePosted
Data Analyst
Company:Emerging Travel Group(1001-5000 employees, Travel Accommodations, E-Commerce, Tourism)
  • Join the Data Science team
  • Ship models
  • Run experiments that impact revenue and B2B metrics
  • Quantify impact in revenue terms
  • Work with ROI
  • Perform complex data analysis using SQL and Python
London, London, England, United KingdomPart-TimeEducationPosted
  • Deliver personalised private lessons on Excel and Google Sheets
  • Teach data analysis and interpretation techniques
  • Instruct on SQL and databases
  • Provide training on data visualisation tools like Power BI or Tableau
  • Support students, junior analysts, and career switchers
  • Adapt teaching content to each student's needs
Remote, UKFull-TimeData SciencePosted
Shown 1-10 of 232
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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, 80 of 187 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 May 27, 2026. The 187-job count matches the Data Analyst title filter used by the listings on this page.

Remote Data Analyst Jobs FAQ

Remoote currently shows 187 searchable remote jobs using the Data Analyst title filter, checked on May 27, 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, 80 of 187 listings include salary information, checked on May 27, 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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