Top Remote Data Analyst Jobs

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.

The Senior Data Analyst will lead data analysis and reporting in experiential marketing, working with stakeholders to translate data into insights and improve business decisions. Key tasks include building data pipelines, ensuring data quality, and creating dashboards for visualization of key metrics.

Lead and coordinate ERP data conversion and migration activities for an S/4 HANA implementation. Document conversion specs, data mappings, and models; drive execution, track progress, manage risks and issue resolution; support configuration, testing, cutover and hyper-care; lead cross-functional meetings, optimize resource utilization, deliver reporting and profiling analytics, and communicate with stakeholders to ensure timely, high-quality deployments.

Analyze product and user engagement data to generate insights, build dashboards and reports, design and evaluate A/B tests, define success metrics with product and engineering, ensure data accuracy, and communicate findings to cross-functional stakeholders to guide product and business strategy.

Develop and maintain network-level coding and reimbursement quality programs. Perform coding audits and monitoring, evaluate clinical documentation for coding accuracy, respond to coding inquiries, deliver education and action plans, and maintain reporting databases to support compliance and billing.

Lead design and maintenance of RCM dashboards and reports in Power BI, write/optimize Snowflake SQL, analyze payer/procedure-level leakage and denials, ensure billing data quality, deliver recurring and ad hoc analyses, present findings to leadership, document methodologies, and mentor junior analysts.

Own and maintain Power BI operational reporting; write and optimize complex SQL in Snowflake; partner with operations and clinical leaders to translate needs into actionable reports tied to EBITDA and volume; build repeatable data pipelines, monitor data quality, standardize metrics, deliver ad hoc analyses, and mentor junior analysts.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

The Senior Data Analyst will partner with teams to provide data analytics solutions, develop complex data models, and create visualizations to drive decision-making.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

The MDM Business Analyst will oversee master data governance, collaborate with stakeholders on requirements, drive process standardization, conduct data audits, and support system development activities.

The Revenue Operations Analyst will manage CRM systems, optimize data workflows, support lead management, and enhance reporting for revenue operations.

The Lead Data Analyst leads complex data analytics and statistical modeling efforts, translating business challenges into analytical frameworks to support strategic decision-making. Responsibilities include developing predictive models, maintaining data quality standards, providing mentorship, and collaborating with cross-functional teams.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

Lead complex analytic projects, translate ambiguous questions into rigorous analyses, collaborate with research/data science/business teams, use DBT/SQL/Python/GitHub to extract, transform, and analyze large datasets, support dashboards and reporting, recommend actions, and handle confidential data.

Lead customer analytics to measure and improve campaign and product performance. Build scalable data models, dashboards, and reports; perform segmentation, cohort, forecasting, anomaly detection, and ad-hoc analyses; ensure data quality and rigorous QA; communicate insights and recommendations to technical and non-technical stakeholders.

Lead customer-facing analytics: build dashboards, reports, and POCs that demonstrate ROI and utilization trends for healthcare provider data. Collaborate with data science and engineering on advanced models, assess and integrate new data sources, ensure data quality, and support presales and executive-facing storytelling.

The Tactical Data Link Analyst develops military standards, evaluates interoperability, researches technical documents, and participates in joint working groups to ensure compliance and interoperability across systems.

As a Data Analyst Intern, you'll assist with data collection, cleaning, analysis, and visualization, contributing to business projects while gaining practical experience.

The Senior Analyst will design data infrastructures, develop visualizations, maintain data pipelines, and ensure compliance while collaborating with teams to support healthcare insights.

The Data Analyst will lead high-impact data products, drive product success, collaborate cross-functionally, use AI tools, and enhance client value, focusing on new methodologies and data exploration.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.