Top Remote Data Analyst Jobs

The Director Analyst role involves creating research and engaging clients on Data Quality, providing actionable insights, and mentoring junior team members. They analyze market trends and support clients in improving data quality initiatives.

The Senior Data Analyst (CX) will analyze customer support data, optimize processes using automation and AI tools, and present insights to improve customer experiences.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The role involves developing processes for sales operations, analyzing order pipelines, managing revenue forecasting, and enhancing sales tools. Responsibilities include implementing changes for efficiency and communicating with stakeholders.

Acquire, manage, analyze data from data warehouse and Salesforce to create reports and visualizations for internal teams and clients. Perform QA, identify trends, outliers, and data quality issues, configure mapping tools, respond to partner requests, and lead client trainings on data specifications.

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

Lead Gartner research on AI-ready finance data, advising CFOs and finance leaders on governance, metadata, semantic architectures, data products and modern data foundations. Create frameworks, maturity models, and thought leadership; deliver presentations, client advisory, and collaborate across analyst teams to operationalize AI-ready data. Travel up to 25%.

Abstracts, validates, and reports clinical data from the EHR for the Stroke Program. Performs data audits, resolves discrepancies, completes regulatory submissions, generates quality/outcome reports, supports audits, and collaborates with clinical teams to ensure accurate registry reporting and process improvements.

Analyze and reconcile enrollment and member data across Medicaid, Medicare, Marketplace, and Duals. Build reports and dashboards, fix data issues, apply statistical techniques, consolidate disparate sources, and partner with operations to ensure accurate coverage and regulatory compliance.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.

Design, develop, and deploy scalable Power BI dashboards and semantic models; build and optimize ETL/data pipelines with SQL and Python; architect cloud data solutions (Snowflake/Azure/Databricks); integrate APIs and AI/ML insights (predictive, NLQ, generative AI); lead data governance, quality assessments, and enable self-service analytics.

The Data Operations Analyst at Revecore will manage data operations, troubleshoot issues, and optimize data pipelines while collaborating with Data Engineering.

Partner with stakeholders to gather requirements, validate integrated datasets, and deliver trusted insights via SQL-driven analysis and Tableau/Qlik dashboards to support federal healthcare operational decisions.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Collect, clean, and analyze data to support business decisions; build dashboards and reports; identify trends and insights; and present findings to stakeholders. Maintain attention to detail and apply problem-solving to derive actionable recommendations.

The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

Lead and coordinate large-scale SAP S/4 HANA data migration and conversion activities for Order-to-Cash processes. Create conversion specs, value maps, data models, track milestones, manage risks, run cross-functional meetings, monitor issue resolution, support testing and hyper-care, and drive documentation, reporting, and continuous improvement.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Lead governance, standardization, and quality of enterprise location master data. Analyze data flows, perform root cause analysis, define KPIs, drive data quality initiatives, document processes, and support stakeholder training to improve reporting and operational decision-making.

Support FP&A for a dental practice management SaaS: build financial models, forecast ARR/MRR, automate reporting with BI and AI, analyze practice usage and pricing, integrate SAP/Salesforce data, and deliver executive dashboards and insights for product, sales, and operations.

Lead data governance for a major data platform project: define and enforce governance artifacts (access, metadata, quality, ownership), align SLAs and operational readiness, manage change and issues, enable stakeholders through training, and advise on report governance and compliance.