Top Senior Analysis Reporting Jobs in Philadelphia, PA

Monitor and analyze competitor strategies, product offerings, pricing, and performance across internet, mobile, and entertainment. Quantify impacts of competitive, consumer, and macroeconomic trends. Synthesize data into executive-ready presentations and actionable insights to inform tactical decisions and long-term strategy. Build CI tools, frameworks, and reporting; partner cross-functionally to answer strategic questions. Support variable schedules including nights and weekends.

Drive BI and analytics initiatives: gather requirements with business leaders, query large datasets across Teradata/SQL Server/Hadoop/AWS, build predictive models, evaluate campaigns, and present executive-ready visualizations while ensuring data governance and privacy.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Own and evolve the Collibra meta-model, integrations, and workflows. Design configurations and security/lineage standards, automate workflows, coordinate changes with Pfizer Global Supply, perform risk/impact assessments, and support development/test/production environments to make trusted data discoverable and usable.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead design and delivery of reusable, AI-ready data products and interoperable data-engineering artifacts for retail-banking portfolios. Manage data product lifecycles, ensure data integrity and governance, create self-service analytics, and align technology and business teams in a matrixed organization.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

Lead analytics for incentive compensation programs: define KPIs, build scalable pipelines, ensure data quality and audit-ready reporting, reduce operational risk, simplify reporting, partner with distribution/HR/compliance, and manage a team of analysts.

Lead data management and quality efforts, consult with stakeholders and vendors, design processes and solutions, perform root-cause analysis of complex data errors, implement improvements, integrate technologies, validate deliverables, and present recommendations to senior management to enable AI-ready data and BI solutions.

Support Wholesale channel through sales and bookings analysis, forecasting, OTB preparation, market recaps, and reporting. Provide data-driven insights to Merchandising, Finance, and Inventory Optimization; maintain line sheets, prepare decks for buy and post-market meetings, and support in-market initiatives and account reps.

Design, build, and automate scalable data platforms (lakehouses/warehouses). Implement and optimize ETL/ELT pipelines using Databricks and dbt, apply Medallion Architecture, manage IaC/CI-CD, ensure data security and governance, and integrate pipelines with BI tools while engaging with stakeholders.