Top Analysis Reporting Jobs in Philadelphia, PA

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.

Build AI-assisted interactive data visualizations, calculators, simulations, and internal web applications using Claude Code, React, and live data integrations. Translate ambiguous stakeholder needs into prototypes, then deploy and improve production-quality tools with reliable data pipelines, authentication, and performance. Collaborate with data engineering, establish reusable development patterns, train analysts on code-first workflows, and replace legacy BI dashboards with purpose-built applications.

Leads customer analytics and forecasting efforts for QVC and HSN. Develops customer targets and financial goals, reports performance against plans, forecasts results, and delivers strategic insights. Uses segmentation, predictive modeling, statistical analysis, data visualization, and data mining to identify trends, explain business performance, and recommend actions that increase sales across customer cohorts. Partners with Finance, senior executives, and business leaders on customer behavior insights and analytic projects.

Provides strategic leadership for enterprise data management, including inbound and outbound data files, requirements gathering, solution design, integrations, platform modernization, data governance, quality improvement, and roadmap development. Leads cross-functional teams and third-party partners, manages budgets and priorities, supports client and carrier needs, and oversees implementation, migration, change management, production support, and compliance for data solutions in the claims and insurance environment.

Leads marketing analytics, predictive modeling, segmentation, and experimentation to improve acquisition, retention, and pipeline performance. Designs and maintains machine learning models, governs A/B and multivariate testing, translates insights into campaign execution, and evaluates analytics platforms. Manages budgets, regulatory compliance, strategic initiatives, and team performance while partnering with Finance, Sales, Operations, IT, and servicing teams. The role is fully on-site with occasional adjusted schedules.

Maintains and updates conflicts database records, especially corporate trees, parent-subsidiary relationships, and affiliated entities. Researches mergers, acquisitions, and other corporate transactions to keep data current, performs quality-control reviews, resolves discrepancies, and collaborates with Finance, Firm Intelligence, and Intake & Conflict Services teams. The role requires corporate research, database maintenance, strong attention to detail, and proficiency with research tools and online databases.

Design, build, and govern end-to-end Power BI reports and dashboards. Scope requirements with business stakeholders, develop data models and DAX, manage datasets/dataflows, enforce dashboard governance, audit performance and accuracy, provide user enablement, and maintain workspaces, RLS, and distribution in Power BI Service.

Build and maintain production data models supporting supply chain, merchandising, marketing, and CRM decisions. Own data integrity, transformation logic, availability, testing, monitoring, documentation, and efficient data access. Partner with business and engineering teams to translate questions into durable models and self-service tools. Develop Looker dashboards, automate reporting, identify data gaps, define data product requirements, and support tracking improvements.