Top Data & Analytics Jobs in Philadelphia, PA

Design and build scalable data infrastructure and pipelines using Azure Data Factory and Databricks. Implement data integration, transformation, modeling, and optimization. Validate data quality and security, collaborate with teams and clients, and contribute to client projects while developing technical skills and personal brand.

Lead design and delivery of data infrastructure, pipelines, and scalable architectures (Snowflake, Azure Data Factory). Oversee data quality, security, and deployment, collaborate cross-functionally, and coach teams to solve complex data challenges and validate client outcomes.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

The VP, Global Head of Statistics leads statistical strategy for vaccine clinical research, providing statistical analysis, overseeing a large team, and influencing cross-functional research efforts.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

Lead the analysis and enhancement of Anaplan models, translating business needs into specifications and ensuring data integrity while managing strategic projects.

As Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

The Data Engineer will design and develop scalable analytics solutions using Azure Data Explorer and Power BI, modeling large datasets into insights and visualizations, while mentoring junior team members.

The Senior Manager will lead actuarial product strategy, manage the TCUP umbrella rating plan, and oversee performance management while collaborating with various teams.

The role involves analyzing large datasets, building models, automating reporting processes, and supporting actuarial analyses for insurance projects.

Lead digital analytics strategy by partnering with product and business teams to analyze user journeys, run experiments, build dashboards, and translate multi-source data into actionable insights that optimize digital experiences and drive business outcomes.

Lead enterprise forecasting, metrics, and performance measurement for Financial Advisor Services. Build and validate forecasting models, produce scenario analyses and executive-ready visualizations, set data quality standards, establish recurring reporting, and mentor analysts to drive strategic decision-making and resource allocation.

Lead fraud strategy and real-time decisioning for payment channels: design and tune rules, drive platform enhancements, use analytics and models to improve detection and reduce false positives, partner cross-functionally, influence senior stakeholders, ensure governance, and manage a high-performing fraud analytics team.