Top Data & Analytics Jobs in Philadelphia, PA

Lead reserving and loss analytics for reinsurance, collaborating with pricing, underwriting, and finance. Drive improvements and insights in a team-oriented environment, while applying advanced analytical tools and methodologies.

The Senior Statistical Programmer leads statistical programming tasks for clinical trials, developing and validating SAS programs and collaborating with biostatisticians to ensure statistical accuracy.

Lead analytics strategy and a team of product analysts to define KPIs, run experiments, analyze user behavior and growth, build dashboards and self-serve analytics, and partner with Product, Marketing, Risk, Engineering, and Data Engineering to drive data-driven product decisions.

The Data Engineer is responsible for building and maintaining data pipelines, ensuring data quality and reliability, and collaborating with various teams on data needs. This involves working with AWS tools and programming in Python and SQL to support analytics and infrastructure.

As a Fraud Analyst, you will analyze fraud threats, ensure regulatory compliance, enhance internal processes, and develop effective reporting for management.

Support the Data Modernization team by administering data infrastructure, building and monitoring ETL pipelines, writing SQL and Python integrations, maintaining databases and APIs, ensuring data security and governance, collaborating with stakeholders and vendors, and producing documentation and reports.

This internship provides hands-on experience in Data Management, assisting in documentation, project meetings, data reviews, and cleaning tasks.

The Principal will lead data engineering projects, support pipeline development, ensure compliance with regulations, and collaborate with researchers to meet data requirements.

Manage the commercial data foundations used for analytics and reporting. Ensure data accuracy, governance compliance, and enable informed decisions through consistent datasets across finance and marketing.

The Application Developer - ETL supports the Enterprise Data Warehouse team in developing, testing, and implementing data engineering solutions, while mentoring junior developers and collaborating with senior engineers and project managers.