Top Data & Analytics Jobs in Philadelphia, PA

Build and optimize scalable batch and streaming data pipelines for Comcast’s enterprise Data Lake. Develop cloud-native solutions using AWS, Databricks, PySpark, Kafka, Kubernetes, and Airflow/MWAA. Support high-volume distributed data processing, production troubleshooting, data warehousing, automation, observability, and data quality initiatives. Collaborate with product, governance, analytics, and engineering teams, participate in architecture decisions, mentor junior engineers, and improve platform reliability and performance.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads analytics for enterprise AI platform adoption, establishing engagement baselines, behavioral metrics, activation funnels, retention cohorts, dashboards, and value-realization measures. Diagnoses adoption barriers, translates telemetry and qualitative feedback into recommendations, and partners with learning, community, communications, product, and experience teams. Sets KPI targets, measures sustained behavior and ROI, enables stakeholders to interpret insights, and informs targeted re-engagement campaigns and executive reporting.

Owns enterprise data architecture, modeling standards, platform integration, governance, quality, security, and reusable architecture patterns. Partners with executives, engineering, analytics, security, and governance teams to modernize lakehouse, data mesh, streaming, and data product ecosystems. Leads proofs of concept, architecture reviews, platform recommendations, and AI/ML data enablement while mentoring architects and engineers.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.

Develop, implement, and tune real-time fraud detection rules; analyze fraud trends and rule performance; support investigations and reporting; collaborate with Product, Engineering, and Operations to reduce losses and false positives while ensuring governance and compliance.

Provides strategic leadership for enterprise data architecture, governance, and modernization. Designs secure Microsoft Fabric solutions, data models, pipelines, and semantic layers; leads platform migration initiatives; ensures data quality, security, and compliance; optimizes performance and costs; and mentors architects and engineers. Partners with business stakeholders to translate requirements into scalable data architecture frameworks supporting analytics, reporting, and informed decision-making.

Leads global insights excellence by standardizing methodologies, governing KPI frameworks, creating common insight languages, and establishing scalable governance and ways of working. Partners with senior stakeholders across markets, builds organizational capability, drives adoption, and leads transformation to embed trusted insights in decision-making.