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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245 jobs found

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Remote, CA, USAFull-TimeHealthcarePosted
  • Collaborate with business stakeholders to identify, define, and improve useful metrics and KPIs.
  • Provide analysis-backed insights to improve business and clinical efficacy.
  • Build relationships and trust with business partners.
  • Use data, analysis, and modeling to optimize operations and clinical efficacy.
  • Partner with the Data Warehousing team to design business-facing semantic layers and foundational information structures.
  • Serve as a subject matter expert for clinical and non-clinical business rules and logic.
  • Communicate complex business and clinical logic to stakeholders and leaders.
  • Build and maintain an enterprise KPI catalog and dictionary and participate in KPI/metrics governance.
We’re a remote-first companyFull-TimeMental HealthPosted
  • Build and maintain interactive reports and dashboards and develop data models from multiple data sources.
  • Analyze historical data to create impactful insights and provide actionable recommendations to key priorities for stakeholders at all levels.
  • Develop a deep understanding of Alma’s business and data to empower more effective decisions.
  • Proactively identify opportunities for increased efficiency in current processes.
  • Support and execute the BI team’s mission and strategy.
  • Act as a liaison for data between the business and Engineering to help advocate for and prioritize improvements in our data capabilities.
RemoteFull-TimeMental HealthPosted
Data Analyst II, Core Ops
Company:Spring Health(1001-5000 employees, Mental Health, Artificial Intelligence (AI), mHealth)
  • Build and maintain interactive reports and dashboards and develop data models from multiple data sources
  • Analyze historical data to create impactful insights and provide actionable recommendations to key priorities for stakeholders at all levels
  • Develop a deep understanding of Alma’s business and data to empower more effective decisions
  • Proactively identify opportunities for increased efficiency in current processes
  • Support and execute the BI team’s mission and strategy
  • Act as a liaison for data between the business and Engineering to help advocate for and prioritize improvements in our data capabilities
We’re a remote-first companyFull-TimeMental HealthPosted
  • Own the strategic roadmap, data architecture, and analytical execution for the Marketing domain.
  • Design and optimize core Marketing data models within dbt to create an integrated, full-funnel source of truth.
  • Empower marketing stakeholders with automated pacing models and diagnostic tools for media-spend optimization.
  • Act as the primary technical liaison between Growth Marketing and Data Engineering for identity resolution and API integrations.
  • Maintain enterprise-grade data models and interactive dashboards in BI tools like Lightdash.
  • Mentor peer analysts, lead code reviews, and establish dbt modeling standards.
  • Drive complex analyses on multi-touch attribution, marketing mix modeling, and client lifetime value.
  • Champion modern analytics engineering practices and AI-accelerated workflows to increase team velocity.
Candidates must also be physically located in the United StatesIncluding Puerto Rico and other U.S. territories.Full-TimeManufacturing AIPosted
  • Analyze large, complex datasets to uncover trends and actionable insights using Excel, Google Sheets, SQL and Python.
  • Collaborate with Senior Analysts and Lead Analysts to interpret client data and propose data-driven strategies.
  • Clean, validate, and pre-process client datasets for analysis and modeling.
  • Translate analysis into compelling business narratives and strategic recommendations.
  • Build lightweight scripts and workflows to automate data handling and save time.
  • Continuously improve internal workflows and enhance analytical processes.
  • Collaborate on tool configurations, and enhancements to boost efficiency.
  • Support text and document annotation initiatives to generate high-quality labeled data for NLP and LLM solutions.
LATAM • RemoteFull-TimeHealthcarePosted
Data Analyst
Company:Urrly(1-10 employees, Artificial Intelligence (AI), Business Development, Sales)
  • Own end-to-end patient data ingestion workflows.
  • Validate incoming healthcare data files.
  • Build and maintain ETL processes.
  • Write SQL queries for data validation and analysis.
  • Apply data corrections and transformations.
  • Create scheduled and ad hoc reports.
  • Partner across teams to resolve data issues.
  • Document workflows and improve data standards.
Continental United StatesFull-TimeHealth ITPosted
  • Develop operational and executive dashboards.
  • Perform quantitative analysis of healthcare and operational data.
  • Build recurring and ad hoc reports.
  • Validate data quality and investigate anomalies.
  • Create visualizations supporting executive decision-making.
  • Perform trend analysis and forecasting.
  • Collaborate with stakeholders to define reporting requirements.
  • Document reporting methodologies and business rules.
  • Support performance measurement initiatives.
  • Present findings to Government stakeholders.
This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located)One of our office hubsOr anywhere else in the US.Full-TimeMarket ResearchPosted
  • Own Kepler data content end-to-end to drive product success and client value.
  • Develop deep expertise in proprietary methods to ensure data accuracy and identify methodology gaps.
  • Tackle complex data problems and refine methodologies using strong analytical judgment.
  • Utilize AI tools to increase workflow speed, reduce manual effort, and validate AI-generated outputs.
  • Write prompts and manage automated evaluation processes for the Kepler Insight Agent.
  • Collaborate cross-functionally with Research and Engineering to streamline workflows and optimize data processes.
  • Handle high-complexity inquiries regarding data anomalies and trends.
Remote - United StatesFull-TimeMarketing TechnologyPosted
  • Analyze performance data across a large and diverse client portfolio to identify trends, patterns, and opportunities
  • Own and evolve portfolio level performance reporting, including dashboards and scorecards
  • Build and maintain benchmarking frameworks to compare performance across key verticals
  • Define and standardize KPIs to ensure consistency across teams
  • Evaluate the effectiveness of strategies and product capabilities, identifying what drives the strongest outcomes
  • Conduct post launch analyses for product and strategy updates impacting performance
  • Support emerging areas like AI driven search such as AI assisted search visibility, entity coverage, and local signals as measurement capabilities evolve
  • Partner with Product, Data, and Engineering teams to improve data quality and expand access to meaningful signals
  • Translate complex data into clear narratives and recommendations for both technical and non technical stakeholders
  • Proactively surface insights and opportunities that influence product direction and business strategy
This role may be performed fully remotely within the United States.Full-TimeMarket research, AnalyticsPosted
Data Analyst II
Company:YipitData(251-500 employees, Market Research, Analytics, Data Visualization)
  • Own Kepler data content end-to-end, focusing on accuracy and client value.
  • Develop deep expertise in proprietary datasets to identify methodology gaps and ensure data accuracy.
  • Tackle complex data problems using strong analytical judgment and creative thinking.
  • Build repeatable processes and validate AI-generated outputs to drive leverage.
  • Write prompts and manage automated evaluation processes for the Kepler Insight Agent.
  • Collaborate with Research and Engineering teams to streamline workflows and optimize data processes.
  • Handle high-complexity customer inquiries regarding anomalies and trends in the data.
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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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