Top Remote Data Analyst Jobs

Perform end-to-end data analysis and translate business requirements into scalable data products, reports, dashboards, and data pipelines. Design data models, document architectures (ERDs, dimensional models), support ETL/ELT, data quality, governance, lineage, and enable client adoption of modern analytics and AI-driven solutions through collaboration, training, and troubleshooting.

Perform exploratory data analysis to find trends and outliers, analyze business processes to identify improvements, provide data-driven recommendations to boost efficiency and profitability, and ensure data accuracy and integrity. Apply P&C insurance, pricing, underwriting, and IoT data knowledge to support rating and risk/loss analysis.

Remote Data Analyst responsible for analyzing complex datasets, designing databases, developing ETL pipelines, creating visualizations and reports with Power BI, using Python for analysis, and collaborating across teams using Agile and SDLC practices to surface trends and insights.

Identify, analyze, and prevent Medicaid fraud, waste, and abuse by developing and deploying detection algorithms, writing advanced SQL, researching claims data, producing reports and visualizations, troubleshooting client issues, and mentoring analysts while collaborating with engineering and product teams.

Provide enterprise analytics expertise supporting reports, dashboards, and analytic tools. Coordinate and complete analytical requests via ServiceNow, resolve complex technical issues, participate in projects and decision-making, transfer knowledge to peers, and ensure standardized development and high customer service.

Support supply chain and logistics by developing and automating reports and dashboards, analyzing large datasets to identify trends and process improvements, ensuring data accuracy, monitoring KPIs (on-time delivery, inventory turns, transportation costs), assisting root-cause analyses, and collaborating with operations, procurement, finance, and IT to deliver actionable insights.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Design and implement end-to-end SQL data pipelines and R/Python/SAS statistical analyses for HEOR/RWE observational studies using Komodo's Healthcare Map. Validate and document analyses, apply epidemiologic methods and advanced statistical techniques, produce publication-ready deliverables, and present results to stakeholders while maintaining version control and reproducible research practices.

Lead growth analytics for acquisition and activation funnels: measure channel performance, build data models and KPI reporting, run experiment analysis, and translate insights into business recommendations. Partner with Growth product team and leadership to visualize results and drive strategy.

Manage collection, QC, and processing of clinical imaging and associated clinical data for studies. Develop image collection protocols compliant with GCP/FDA/HIPAA, collaborate with radiologists, maintain tracking systems, support analysis and study documentation, and improve data workflows while ensuring regulatory and privacy compliance.

Analyze large-scale, multimodal vehicle and simulation data to develop safety performance indicators, quantify risk and uncertainty, build automated production analytics workflows, support incident response and decision-making, and communicate results to engineering and safety stakeholders.

Remote paid internship supporting Infrastructure reporting: gather and clean data, build small databases, run queries, analyze trends, generate and maintain reports and monthly decks, document procedures, and present findings under manager supervision.

Provide advanced technical support and subject-matter expertise for Relativity platforms (RelativityOne/Server), design and maintain complex workspaces and permissions, configure analytics/processing/imaging, develop event handlers and advanced search logic, deliver client-facing training/demos, mentor junior analysts, review deliverables, and maintain eDiscovery SOPs and best practices.

Lead analytics and reporting for value-based contracts: build and maintain performance evaluations, calculate incentive distributions, translate business requirements into technical specs, partner with Data Engineering to ensure data quality, write SQL and Python analyses, gather stakeholder feedback, and deliver ad-hoc and executive-level insights to guide strategic decisions.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

Design, build, and maintain interactive Power BI dashboards (including Fabric workspaces). Analyze data to identify trends, ensure data quality, collaborate with stakeholders to gather requirements, and present actionable insights to support decision-making.

Perform data collection, cleaning, validation, exploratory analysis, and visualization to produce dashboards and reports. Write SQL and use Python/R and visualization tools to generate insights, support cross-functional teams, maintain documentation and data quality, and assist senior analysts on modeling and forecasting.

Audit and reconcile marketing and lead data end-to-end, maintain campaign tracking and platform integrations, troubleshoot data flow issues, manipulate large datasets to identify discrepancies, coordinate with vendors and stakeholders, and recommend process improvements to ensure accurate marketing-to-intake reporting.

Own end-to-end analytics for the Pro product: build production data pipelines and dbt models, define north-star metrics, design dashboards and full-funnel reporting, lead A/B experimentation and causal inference, embed AI tooling, and deliver clear data-driven recommendations to product and leadership.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.