Top Remote Analysis Reporting Jobs in Philadelphia, PA

The Senior Regulatory Reporting Analyst will manage complex data extraction and reporting for state insurance departments, collaborate with business units, and enhance data quality.

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

The Principal will lead data engineering projects, support pipeline development, ensure compliance with regulations, and collaborate with researchers to meet data requirements.

Lead end-to-end customer journey analytics by integrating structured performance data with Voice of Customer inputs. Drive journey mapping, KPI frameworks, stakeholder alignment, and actionable insights to improve acquisition, engagement, conversion, and retention.

The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead IJM's global donor and audience insights by developing segmentation, motivation models, and behavioral analysis to guide marketing and fundraising strategy. Translate complex data into actionable recommendations, manage global projects and workflows, build cross-functional adoption of analytics, produce foresight and trend reports, and embed an insight-driven culture while participating in organizational spiritual formation.

The Marketing Data Analyst will analyze performance data across marketing and sales channels, develop dashboards, and provide insights to improve customer engagement and ROI.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

Own and maintain the Kepler consumer transactions feed end-to-end: ensure data accuracy, refine methodologies, implement QA frameworks, prototype enhancements, use SQL/Python/PySpark and AI tooling to automate workflows, and collaborate cross-functionally to resolve high-complexity issues for clients.