Top Fintech Data & Analytics Jobs in Philadelphia, PA

As a Senior Data Analyst at Bestow, you will automate data transformation pipelines, create data visualizations, ensure data quality, and collaborate with teams to drive insights in the insurance domain.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Principal, Business Intelligence role involves designing data-driven strategies to enhance sales efficiency for Private Wealth Solutions, optimizing territory frameworks, and collaborating closely with sales and marketing teams to drive growth based on analytical insights.

Design and build automated solutions, integrations, and data pipelines to eliminate manual operational work. Develop Python scripts and REST API integrations, write SQL for investigations and reports, document workflows and runbooks, monitor production automations, and partner with Operations, Engineering, and Data teams to prioritize and deploy reliable, observable automation.

Design and deliver analyses, visualizations, and dashboards to translate complex sales and distribution data into actionable insights. Build and maintain sustainable data products, ensure data accuracy, and manage recurring reporting. Partner with stakeholders to define requirements, lead projects to delivery, and support compensation, lead generation, and performance evaluation initiatives.

Serve as a data subject-matter expert for Capital Partners, translating business needs into requirements, user stories, and tactical data solutions. Partner with front-office, investment, and technology teams, support UAT, create data catalogs/flow diagrams, and drive process improvements to advance an AI-ready data platform.

Manage a 2-5 person BI team to deliver scalable data models, ETL, dashboards, and reporting solutions. Drive BI strategy, architecture improvements, stakeholder engagement, vendor evaluations, and coach staff to ensure quality and on-time delivery.

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.

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.