Top Data & Analytics Jobs in Philadelphia, PA

The Business Analyst will develop and manage BI solutions, perform data analysis, and communicate effectively with both technical and business teams.

The BI Developer will create and manage Enterprise reporting using Power BI, collaborate with users for optimized visualizations, build data models, and ensure governance, while enabling self-service BI and driving process improvements.

Design and produce interactive dashboards and visualizations (Tableau/Power BI) to communicate child-welfare data. Lead project teams, partner with analysts and IT, translate complex analyses for diverse stakeholders, and train staff on data communication and dashboard use.

Design, build, and optimize modern Azure and Databricks data platforms for clients. Develop batch and streaming ingestion pipelines, lakehouse and medallion architectures, dimensional models, and transformation workflows. Lead discovery sessions, requirements workshops, architecture discussions, and solution reviews. Recommend practices for governance, lineage, monitoring, DevOps, security, and data modeling while translating business needs into scalable technical solutions and communicating with technical and executive stakeholders.

The Sr. Business Analyst is responsible for effective communication, proactivity, and expertise in Amdoc's CES Suite and the telecom domain, along with TMForum certifications.

The role involves Tealeaf analysis and administration, including user coaching, data analysis, reporting on customer experiences, and improving web functionalities.

The Systems Analyst translates business requirements into system specifications, documents system changes, coordinates project activities, and interacts with stakeholders and technical teams.

The Kinaxis BA will build and deploy workbooks, troubleshoot issues, interpret business requirements, and provide production support in the Kinaxis environment.

This internship provides hands-on experience in Data Management, assisting in documentation, project meetings, data reviews, and cleaning tasks.

Design and develop simulation frameworks for backtesting trading strategies, while collaborating with quantitative researchers on new trading ideas.