Top Senior Analysis Reporting Jobs in Philadelphia, PA

Supports enterprise data governance by developing data principles, policies, standards, business rules, and quality monitors. Profiles and analyzes datasets, identifies anomalies and trends, performs root cause analysis, documents requirements, evaluates governance software, and collaborates with data stewards and business and IT users to resolve data quality issues. The role also supports PJM’s Master Data Management platform and communicates analytical findings.

Analyzes and converts customer, account, and financial data into the Finxact core banking system. Performs data mapping, testing, mock conversion validation, and user acceptance guidance while documenting requirements and collaborating with clients on business needs and integration outcomes.

Conduct rigorous statistical analysis of A/B and multivariate tests, evaluate personalization placements, and translate results into actionable testing strategy. Build reporting standards, documentation, and analytical processes; analyze customer browsing and purchase behavior; support onsite tagging and testing QA; and identify optimization opportunities across site and app. Collaborate with marketing and analytics teams to promote fact-based decision-making across Anthropologie brands.

Leads Data Operations, including reporting, dashboards, data warehouse and dbt model oversight, data quality, governance, service levels, incident response, and stakeholder prioritization. Manages and develops data professionals while partnering with Data Engineering, Security, Privacy, Compliance, and Enterprise Architecture. Ensures reliable, secure, well-documented data services and protects PHI through appropriate access, privacy, lineage, retention, and monitoring controls.

Leads data discovery, quality analysis, profiling, cleansing, governance, reporting, and dashboard development. Develops data products and machine-learning analytics, promotes data literacy, and applies privacy principles to secure sensitive information. Partners with stakeholders to interpret data, identify root causes, improve data reliability, and communicate insights to technical and non-technical audiences.

Builds, tests, implements, documents, and supports business intelligence solutions, including reports, dashboards, semantic layers, metadata, stored procedures, and database services. Partners with healthcare operational and business leaders to translate data into actionable insights, answer business questions, support KPI-driven decisions, enable analytics-tool adoption, troubleshoot BI systems, tune performance, and provide occasional on-call support.

Leads the integration, transformation, validation, and provisioning of large-scale healthcare datasets, including claims, pharmacy, EMR, and longitudinal patient data. Designs scalable data pipelines and ETL/ELT frameworks using Snowflake on Azure, while supporting Hadoop, Spark, and Scala environments. Partners with suppliers, engineering, architecture, DevOps, and data management teams. Builds data quality, monitoring, CI/CD, testing, and deployment solutions while guiding Agile development and exploring AI-assisted engineering and AI agent functionality.

Leads the design, development, and support of enterprise analytics, reporting, dashboards, and data models. Partners with business and technology teams to translate requirements into scalable solutions and actionable insights. Develops SQL transformations, Power BI and SSRS reports, and cloud analytics environments using AWS Athena, Snowflake, and Microsoft Fabric. Establishes data governance, quality, security, and reporting standards; troubleshoots complex issues; and provides technical leadership for modernization, cloud migration, mentoring, and continuous improvement initiatives.

Leads commercial data and reporting processes, develops Power BI dashboards and recurring reports, analyzes revenue, pricing, margin, customer, product, and market data, and delivers insights for growth decisions. Partners with Sales, Commercial Finance, IT, and data teams to define KPIs, translate requirements, reconcile data, automate reporting, support technical delivery, and drive stakeholder adoption.

Designs and maintains production data pipelines for AI usage and cloud billing data, normalizing costs for accurate attribution and chargeback. Builds Power BI dashboards, automates recurring financial reporting, implements quality controls and anomaly detection, and ensures reliable, auditable cost data. Partners with Finance and FinOps stakeholders to evolve data models, tagging standards, allocation logic, and reporting as AI consumption grows.