Top Senior 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 data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

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.

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.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

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.

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.

Design, build, and operate scalable batch, streaming, and CDC data pipelines across Snowflake and AWS. Lead ETL/ELT architecture, orchestration, data modeling, quality monitoring, observability, incident resolution, and performance optimization. Develop production solutions in SQL and Python, establish engineering standards for testing and CI/CD, and partner with Analytics Engineering, Data Science, Product, and Engineering teams to deliver reliable data products.

Develop data analytics and business intelligence strategies, strengthen data governance, define quality controls and lineage, ensure data integrity, improve data management processes, deliver cross-functional insights, and mentor junior analysts. The role also drives adoption of emerging analytics technologies and supports strategic decision-making within financial services.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.