Top Analysis Reporting Jobs in Philadelphia, PA

Develops end-to-end reporting and analytics solutions for Anthropologie’s merchandising and planning teams. Responsibilities include analyzing systems and data, creating and automating reports, documenting requirements, troubleshooting issues, supporting BI system design and testing, and coordinating projects across business and technology teams. The role focuses heavily on merchandise promotions and requires strong retail process knowledge, communication, prioritization, and problem-solving skills.

Analyzes financial, operational, sales, and customer data for the CEO and executive leadership team. Reconciles inconsistent data sources, builds models, explains performance drivers, and delivers actionable recommendations through board-quality reports and presentations. Leads cross-functional CEO initiatives, supports acquisitions and integration, manages executive reporting, and provides continuity for executive office operations. Handles confidential information and contributes to future analytics and reporting architecture.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Develop and manage Workday PSA and Financials data solutions, including conversions, transformations, integrations, reporting, APIs, EIBs, and ETL processes. Create technical documentation, perform data analysis and loading, support migrations and M&A initiatives, and ensure security, compliance, access controls, and data quality. Partner with business analysts, functional leads, engineers, and security teams while managing multiple projects and serving as a Workday data subject matter expert.

Build and maintain production knowledge graphs in Stardog using semantic web standards, ontology modeling, SPARQL, virtual mappings, Python, and SQL. Integrate life science data sources, implement data quality and validation, automate CI/CD deployments, support governance and lineage, and collaborate with subject matter experts to develop defensible semantic models.

Performs data analysis and validation for customer remediation events. Extracts, transforms, and compares data across multiple database systems to verify population accuracy, remediation calculations, completeness, and customer outcomes. Conducts testing, challenges business processes, partners with stakeholders through remediation milestones, and ensures timely, accurate event completion.

Analyze NPS, customer experience metrics, survey data, and multiple data sources to identify trends and drivers. Build and maintain dashboards and recurring reports, synthesize findings, and translate analysis into clear narratives and actionable recommendations. Partner with CX, research, analytics, and business stakeholders to answer complex questions, support measurement initiatives, and inform customer experience strategy.

Manages reporting, business intelligence, and data integration functions across clinical, claims, and operational systems. Leads reporting analysts and integration staff, oversees ETL and data quality, ensures regulatory and operational reporting accuracy, establishes data standards and governance practices, and partners with technical and business stakeholders. Provides leadership for analytics products, system upgrades, interoperability initiatives, and process improvements.

Design and build scalable cloud-native data platforms, batch and streaming pipelines, data lakes, and integrated data services. Support analytics and AI/ML workloads while implementing DevSecOps, infrastructure as code, and reliability improvements. Collaborate with data scientists, engineers, architects, consultants, and clients to solve complex data challenges and translate requirements into technical solutions. The role supports Defence, Government, and National Security projects and requires high-level security clearance and on-site work three to four days weekly.

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.