Top Data & Analytics Jobs in Philadelphia, PA

The Senior Data Engineer designs and develops scalable data architectures across platforms, mentors team members, and enhances data engineering capabilities for insights and decision-making.

The Business Analyst will analyze business needs, work with clients, create test plans, and support projects in the pension and benefits sector.

Lead a team of data visualization analysts to deliver dashboards and optimize BPM reporting infrastructure while driving analytics strategy and best practices.

The role involves business analysis in the marketing domain, focusing on gathering requirements and creating functional specification documents, with a strong emphasis on CRM marketing experience.

The Big Data Analyst will analyze complex data, communicate findings, work with teams, and solve problems related to BI and case management.

Design, build, and maintain ETL processes, data models, queries, and reports. Produce statistical and narrative analyses, develop visualizations and self-service reporting, ensure data quality, support projects, audits, and stakeholder requirements, and train/consult with end users.

Design, build, deploy, and maintain large-scale data pipelines and ETL using Python and Spark on Azure (Synapse/Databricks). Collaborate with cross-functional teams to translate requirements into data designs, implement CI/CD, monitor and troubleshoot production pipelines, ensure data security and governance, perform code reviews, and document solutions while driving automation and process improvements.

Lead CRM and passenger analytics for Philadelphia International Airport. Oversee CRM platforms, feedback systems, dashboards, and data governance to drive passenger experience improvements, operational decision-making, and cross‑functional programs with airlines, tenants, and airport teams.

Design and operate real-time and batch data pipelines on Azure and Databricks for IoT/telemetry. Build ETL/ELT workflows, streaming ingestion, data services/APIs, and ensure data quality, privacy, performance tuning, and CI/CD for analytics and ML consumption.

The Statistical Programmer analyzes large datasets using SAS and SQL, and applies various statistical methods such as regression and multivariate analysis, while collaborating effectively with team members.