Top Remote Data & Analytics Jobs in Philadelphia, PA

The Manager, Data Strategy leads client reporting and measurement efforts, ensuring accuracy and alignment with business goals while managing relationships and collaborating with internal teams.

The Infor Syteline Implementation Business Analyst will analyze business needs, manage project requirements, and collaborate with IT for system enhancements and training.

The Data Entry Assistant will manage data entry tasks, maintain data accuracy, verify information, and collaborate with team members in a remote setting.

The Lead Business Intelligence Engineer implements best practices for data analysis, develops technical solutions, ensures compliance, and leads team mentoring within the healthcare industry.

As a Business Intelligence Lead, you will analyze complex data to support decision-making, build Power BI solutions, and lead data engineering efforts.

The Senior Business Intelligence Engineer builds scalable, cloud-based reporting solutions for member interactions, collaborating with teams to optimize data insights and reporting for IVR/IVA/Chat channels.

The Advanced Analytics Manager will lead analytics initiatives, transforming complex datasets into insights, collaborating across departments to inform GTM strategy and revenue planning.

The Data QA Engineer designs and executes test plans for data pipelines and transformations, collaborates with teams to ensure data quality, and utilizes AI techniques for testing automation. They validate business metrics and facilitate cross-team communication.

The analyst provides analytical support, updates rating tools, maintains data accuracy, and communicates with stakeholders while managing projects.

The Business Analyst will gather and analyze business reporting requirements, translating them into actionable insights, and support dashboard development for better data visibility in a fully remote capacity.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.

The Software Engineer will develop and enhance Research platforms, leverage data science, and work with cross-functional teams to create scalable, maintainable systems for data products at Netflix.