Top Remote Entry Level Data & Analytics Jobs in Philadelphia, PA

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

Entry-level analyst supporting healthcare consulting engagements: acquire and clean data, build datasets, perform statistical analyses (regression, clustering, forecasting, survival), generate charts/reports, identify insights, support primary research and survey QC, and contribute to client deliverables while following firm procedures and pharmacovigilance requirements.

As a Jr. Sales Commission Analyst, you will calculate commission payments, prepare statements, resolve discrepancies, and ensure compliance with SOX controls while maintaining data accuracy.

The Fraud Intelligence Analyst reviews applications for fraud, investigates cases, collaborates with teams to enhance fraud models, and provides detailed reports.

As a Search Quality Rater, evaluate the quality of search results for relevance and usefulness to users' queries, complete straightforward online tasks, and provide feedback to improve AI technology.

The Underpayment Analyst ensures accurate compensation for hospitals by analyzing claims, resolving discrepancies, and improving reimbursement processes while maintaining compliance with regulatory guidelines.

The Data Entry Assistant is responsible for maintaining data accuracy, performing quality checks, and managing electronic files in a remote work setting.

As a Marketing Analyst, you will analyze marketing data, provide insights, and create reports and dashboards to optimize marketing efforts across various channels and products.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.