Top Data & Analytics Jobs in Philadelphia, PA

Manage Development, QA, and Production environments for ODS/data warehouse/data mart solutions. Perform ETL design, deployments, Informatica administration, patching, load monitoring/recovery, performance tuning, and coordinate with offshore teams and vendors.

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.

As a Senior Data Engineer, you will develop data pipelines, architect innovative data products, and integrate AI/ML models to enhance business insights.

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

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 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.

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

Advance investment data, reporting, and technology capabilities by designing scalable data pipelines, monitoring and resolving data exceptions, building reports and dashboards, supporting product management and UAT, improving automation and governance, and partnering cross-functionally to maintain data quality and documentation.

Lead a social analytics team to deliver measurement strategies, reporting frameworks, and actionable insights for clients. Manage team performance, resource planning, and operational processes while partnering with Client Services to drive account growth, automate reporting, and leverage AI/automation to scale analytics capabilities.