Top Data & Analytics Jobs in Philadelphia, PA

Leads the enterprise Data & Analytics organization, setting strategy and operating models across data foundations, architecture, analytics, migration, integration, and governance. Oversees global teams, enterprise data platforms, pipelines, reporting, SAP data initiatives, migration programs, data quality, metadata, lineage, and stewardship. Partners with executives and technology stakeholders to deliver trusted, governed, AI-ready data assets, improve reporting and analytics adoption, and align investments with business outcomes.

Executes digital attribution and campaign measurement projects, partnering with sales teams, vendors, and ad operations. Implements tracking pixels and Google Tag Manager tags, analyzes campaign performance, communicates insights to nontechnical stakeholders, manages vendor relationships, and develops scalable approaches to campaign data analysis and optimization.

Analyzes and resolves investment data exceptions, performs reporting and quality control, maintains data integrity and controls, conducts root cause analysis, improves workflows, supports testing and monitoring, and collaborates with internal and external partners to produce accurate investment data.

Supports Product and IS teams by developing enhancement requirements, workarounds, specifications, test cases, reports, and business process documentation. Performs UAT and functional testing, analyzes data, maintains application business rules and forms, coordinates vendor issue logs, and recommends process improvements. Requires accuracy, organization, effective communication, independent prioritization, and collaboration with internal teams and vendors.

Performs quantitative catastrophe risk analyses using existing models to estimate client exposure and potential losses from natural and man-made catastrophes. Reviews and validates client exposure data, identifies abnormalities, prepares reports and presentations, communicates with clients on routine projects, and researches scientific and industry information on regional perils.

Develop and maintain recurring, ad hoc, management information, and client-facing reports for senior leadership, internal stakeholders, relationship teams, and clients. Partner with business stakeholders to gather reporting requirements, create reporting enhancements, streamline and automate processes, and maintain documentation covering methodologies, data sources, and procedures. The role requires strong Microsoft Excel skills and familiarity with Power BI and Tableau; SQL and data warehouse experience are preferred.

Lead solution onboarding and customized client delivery for alternative investment services. Translate business requirements into technical specifications, configure systems, manage reporting and file-extract projects, develop end-to-end test cases, oversee process improvements, analyze client requests, and coordinate with developers, QA, fund accountants, investor services, relationship managers, and external stakeholders.

Leads catastrophe risk analytics for alternative risk transfer programs, managing modeling teams, RMS/AIR workflows, portfolio rollups, pricing, event response, vendor strategy, and data automation. Translates catastrophe model outputs into underwriting and reinsurance decisions while overseeing ETL pipelines, exposure data quality, advanced analytics, reporting, and cloud modernization using Azure Databricks and related technologies.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

Own marketing analytics, reporting, dashboards, metric definitions, and customer attributes. Connect Google Analytics, HubSpot, and Salesforce data; support segmentation, campaign measurement, funnel reporting, and data-quality improvements. Partner with Marketing, Data, Revenue Technology, Product, and Engineering to translate business needs into reliable reporting and actionable insights.