Top Analysis Reporting Jobs in Philadelphia, PA

The Manager for Data Engineering will lead the Data & AI team, focusing on building modern data platforms, providing mentorship, and overseeing project delivery using Microsoft technologies.

The Investment Data Analyst will centralize and enhance data automation, manage reporting functions, support data requests, and ensure data quality. Responsibilities include data manipulation for AI integration and overseeing the Investment Research Library.

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, 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.

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.