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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Zdalnie + okazjonalne wizyty w biurze w Warszawie lub KrakowieContractEnterprise ArchitecturePosted
Data Analyst
Company:Scalo
  • Analyze large, varied application and infrastructure datasets and integrate them with platforms including LeanIX and ServiceNow.
  • Consolidate, clean, and harmonize application and infrastructure data from multiple sources for SAP LeanIX.
  • Import, map, and export data between platforms such as SPARX EA, Excel, spreadsheets, and Confluence.
  • Map application-to-application and application-to-infrastructure relationships, including dependencies and environment complexity.
  • Turn raw, unstructured information into clear reports and exports describing the company’s application and technology landscape.
  • Ensure the completeness, consistency, and quality of architecture data.
  • Monitor and maintain data quality, lineage, and completeness.
  • Support data integration between application and infrastructure layers after the initial environment configuration.
Fully remote working arrangement in India.Full-TimeEnterprise billingPosted
SAP BRIM Functional Data Analyst
Company:Jobgether(11-50 employees, Internet)
  • Analyze SAP BRIM data structures and processes across SOM, CC, CI, and FI-CA.
  • Support data activities for customer accounts, subscriptions, billing, invoicing, payments, and receivables.
  • Create and maintain source-to-target mappings, transformation rules, validation procedures, and reconciliation documentation.
  • Analyze legacy data and support migration through extraction, cleansing, transformation, loading, validation, and reconciliation.
  • Collaborate with migration architects and technical teams on defects, mock conversions, cutover planning, and production deployments.
  • Support billing, revenue, invoicing, customer account, and financial reconciliation reports, dashboards, and KPIs.
  • Gather and document stakeholder requirements and translate them into functional data specifications.
  • Develop and execute validation scripts, test scenarios, UAT, and reconciliation tests; track defects and verify data flows and reporting outputs.
  • Maintain functional specifications, data dictionaries, governance documentation, reporting definitions, and operational procedures.
  • Provide user support and knowledge transfer for SAP BRIM data and reporting processes.
We're open to remote candidates across Europe.Full-TimeVacation rentalsPosted
Senior Marketing Data Analyst
Company:Lodgify(251-500 employees, Hospitality, SaaS, Vacation Rental)
  • Analyze paid search, paid social, and organic acquisition performance to identify opportunities, explain changes, and recommend actions.
  • Drive experimentation to evaluate channel impact and calibrate marketing investments.
  • Translate experiment findings into recommendations, making uncertainty and measurement limitations explicit.
  • Co-own trusted data products with Data Engineering, combining multi-channel marketing performance, web, and product telemetry.
  • Develop and improve acquisition measurement approaches using attribution and experimental evidence.
  • Partner with technical owners on tracking requirements and data validation.
  • Turn analysis into clear narratives and visualizations for marketing stakeholders.
  • Use AI tools to accelerate analysis and automate recurring reporting, with checks on accuracy and interpretation.
  • Document definitions, analytical methods, and known limitations, and work with Data Engineering to improve data reliability and self-service analytics.
Fully remote working arrangement within India.Full-TimeEnterprise AIPosted
Azure AI Data Analyst
Company:Jobgether(11-50 employees, Internet)
  • Collaborate with IT, Data Engineering, and Data Science teams to gather technical requirements and ensure data availability and system readiness for AI integration.
  • Design, develop, implement, and optimize ETL/ELT pipelines to prepare, clean, transform, and structure datasets for machine learning models and LLMs.
  • Build and maintain scalable data architectures for enterprise AI applications and advanced analytics.
  • Manage datasets and orchestrate data workflows in Google Cloud to support AI model deployment.
  • Use Azure Synapse and Google BigQuery to manage, process, and analyze enterprise data.
  • Provide technical support for generative AI applications, agentic workflows, and internal data integration tools.
  • Troubleshoot system, API, and pipeline issues by investigating anomalies and logs, identifying root causes, and implementing solutions.
  • Participate in configuring, testing, and deploying agentic AI development platforms and workflow orchestration tools.
  • Support integrations across cloud environments, databases, APIs, servers, and enterprise IT infrastructure.
  • Develop and maintain technical documentation for data architectures, pipelines, API integrations, and AI workflows.
Workable workplace: remote; Workable locations: Brazil. São PauloState of São PauloBrazil. Belo Horizonte+8 more locationsFull-TimeHome services marketplacePosted
Lead Product Data Analyst
Company:LawnStarter(101-250 employees, Internet, Marketplace, Outdoors)
  • Analyze marketplace metrics and identify gaps, insights, and optimization opportunities.
  • Run analyses ranging from A/B tests to multivariate models on retention or ETA.
  • Build and maintain accurate, current, and actionable reports and dashboards.
  • Create clean, documented datasets and models in the data warehouse using dbt.
  • Partner with product managers, researchers, and business stakeholders on prioritization, assessments, and recommendations.
  • Help stakeholders find answers through self-serve reporting and easy-to-use datasets.
  • Make findings actionable by influencing stakeholder decisions.
  • Use AI tools to draft and debug SQL and dbt models, script analyses, and shape reports.
Listing locations: USA; RemoteFull-TimeFinancial technologyPosted
  • Own monitoring of product metrics across credit risk, payments, and usage.
  • Check loan and credit card performance metrics, including beginning balance, transactions, and ending balance.
  • Build executive dashboards that compare actuals against forecasts.
  • Build forecasting and projection frameworks for portfolio metrics.
  • Prepare and present executive materials, answer data inquiries from investors and lenders, and assist with scenario testing.
  • Conduct root-cause and remediation analysis with relevant business leaders.
  • Support simulation of portfolio covenants for major risk strategy changes.
  • Establish portfolio forecasts and monitoring for the corporate model.
  • Collaborate with Capital Management, Risk, Finance, Core, and Accounting on analysis and lender negotiation materials.
  • Reconcile General Ledger records with product tapes and trace payment flows from bank accounts to discrete accounts.
Workplace type: remote; Country code: PLFull-TimeLearning platformPosted
  • Design complex experiments and A/B tests to validate hypotheses and measure business impact.
  • Define success metrics and apply statistical methods to ensure reliable results.
  • Analyze user behavior, conversion funnels, engagement, and retention.
  • Translate analytical findings into actionable recommendations for product improvement.
  • Identify opportunities to improve product performance.
  • Own analytical tasks end to end in collaboration with team leads and product stakeholders.
  • Present findings and recommendations to support data-driven decision making.
Fully remote position, based in Brazil.ContractMobile applicationsPosted
Product Data Analyst, Mobile Apps
Company:Jobgether(11-50 employees, Internet)
  • Own product analytics for assigned mobile applications, monitoring activation, feature adoption, onboarding drop-off, engagement, and retention.
  • Translate product questions into analytical investigations and deliver actionable recommendations.
  • Build funnel, cohort, and retention analyses using large-scale event datasets in BigQuery.
  • Define event tracking strategies with product managers and engineering teams, implement instrumentation plans, and perform tracking quality assurance.
  • Design and evaluate A/B tests from hypothesis development and measurement planning through results interpretation and stakeholder presentations.
  • Develop and optimize SQL queries and dbt models for reporting, analysis, and business intelligence.
  • Use AI-powered tools to support query development and review, automate recurring reports, and accelerate insight generation.
  • Create dashboards and self-service reporting solutions for product teams.
  • Identify and resolve or escalate data anomalies, inconsistencies, and integrity issues.
  • Present findings to non-technical stakeholders and collaborate with product, marketing, and engineering teams.
Fully remote positionOpen to candidates in Brazil.Full-TimeGrowth analyticsPosted
Lead Data Analyst, Growth & Experimentation
Company:Jobgether(11-50 employees, Internet)
  • Own the Growth experimentation program and establish standards for test design, statistical power, sample sizes, significance, and experiment readouts.
  • Identify underpowered tests, false positives, tracking issues, and attribution problems before they affect business decisions.
  • Extend anytime-valid statistical monitoring across Growth experiments.
  • Develop the self-service experimentation layer, including automated Growth metrics in Lightdash, Python statistical tooling, and AI-powered workflows.
  • Build and maintain an acquisition-to-conversion funnel model covering visitors, leads, and customers across brands and channels.
  • Improve funnel instrumentation and data consistency across paid, organic, and partner acquisition channels.
  • Partner with the Director of CRO, performance marketing teams, and Growth Product Managers to turn analysis into recommendations.
  • Establish processes and a playbook to scale the Growth analytics function.
  • Evaluate external statistical tools against further development of existing Python and AI-powered capabilities.
Candidates must reside in the United StatesFull-TimeEmergency medical equipmentPosted
Data Analyst
Company:Sarnova
  • Develop, maintain, and optimize complex SQL queries for reporting, analytics, and data validation.
  • Design and build interactive Power BI dashboards and reports, ensuring data accuracy and usability.
  • Collaborate with IT and business teams on customer implementation projects, including data migration, configuration, and testing.
  • Analyze data to identify trends, anomalies, and actionable insights for business stakeholders.
  • Ensure data integrity and compliance with security and privacy standards.
  • Document processes, configurations, and data workflows.
  • Troubleshoot and resolve data-related issues across systems and integrations.
  • Participate in cross-functional projects to enhance reporting capabilities and system performance.
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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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