Top Data & Analytics Jobs in Philadelphia, PA

Build and maintain data ingestion, warehousing, modeling, historical repository, data quality, reconciliation, lineage, and regulatory reporting solutions for financial services risk programs. Analyze complex data issues, support testing and production activities, and collaborate with risk, compliance, audit, technology, and reporting stakeholders. Develop datasets for Power BI and ensure audit-ready documentation in regulated environments.

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.

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.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Administers and optimizes the HRIS, including configuration, upgrades, integrations, troubleshooting, and data governance. Develops standard and ad hoc reports, KPI dashboards, regulatory reports, and employee survey outputs. Analyzes workforce data to identify trends, recommend improvements, and support strategic decisions. Partners with vendors and IT on system enhancements while ensuring data integrity, privacy, and operational efficiency.

Leads enterprise data management and governance strategy, standards, policies, lifecycle practices, metadata, data quality, and regulatory alignment. Partners with data owners, stewards, business leaders, architecture, analytics, and technology teams to improve data maturity and embed governance requirements. Chairs governance committees, drives quality controls and remediation, facilitates change management, promotes adoption, and advises on data definitions, lineage, cataloging, classifications, and enterprise data roadmaps. This role emphasizes influence and governance rather than hands-on engineering or ETL/ELT development.

Leads actuarial and analytics initiatives across insurance product lines, applying actuarial, statistical, pricing, reserving, forecasting, and quantitative analysis techniques. Drives data, tool, and process modernization; translates business needs into analytical solutions; provides strategic recommendations; and communicates findings to senior stakeholders. Manages a small team, mentors talent, collaborates across business units, and supports enterprise initiatives and continuous improvement.

Supports data governance for acquired-company integration and transformation initiatives. Responsibilities include inventorying structured and unstructured data, documenting ownership, classification, retention, legal holds, privacy, quality, metadata, lineage, and stewardship requirements. The role maintains catalogs and glossaries, supports source-to-target mapping and reconciliation, prepares governance metrics and dashboards, and coordinates with business, technology, legal, privacy, risk, security, and implementation teams to ensure data is trustworthy, compliant, and ready for migration, archival, modernization, and analytics.