Top Senior Analysis Reporting Jobs in Philadelphia, PA

Lead data architecture for BI: design and govern ETL/ELT pipelines, data warehouses/lakes, semantic layers and ingestion frameworks; ensure data quality, lineage, security/compliance, scalability and operability across on-prem and cloud platforms; lead design reviews, coach teams, and drive standards and migrations (on‑prem to cloud).

The Data Strategy Manager will lead projects to deliver data strategy solutions in Life Sciences, manage client relationships, and mentor team members.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

The role leads Clinical Data & Information Sciences in drug development, ensuring data integrity, compliance, and continuous improvement while collaborating with cross-functional teams to enhance business processes and experience.

The Principal Data Architect leads technical and business discussions on architecture direction, participates in enterprise strategic development, and manages architecture governance while aligning architectural requirements with IT strategy and business goals.

As Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

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.

The Lead Clinical Data Analyst coordinates clinical study databases, manages project timelines, supports vendor evaluation, and develops processes for clinical systems.

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.