Top Analysis Reporting Jobs in Philadelphia, PA

Owns client data projects involving payroll, HRIS, recordkeeping systems, data cleanup, conversions, testing, issue resolution, documentation, and stakeholder communication. Analyzes data inputs, validates accuracy, manages data requirements and timelines, and serves as the data subject matter expert across internal teams and external partners. Also supports process improvements, training, coaching, and special projects.

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.

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.

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.

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.