Top Senior Analysis Reporting Jobs in Philadelphia, PA

Lead data validation and risk analytics practice, set strategic direction, manage multiple client engagements, and drive business development. Use Alteryx and Python for data integration, build dashboards in Power BI/Tableau, apply predictive analytics and statistical modeling, ensure data integrity/security, mentor teams, and cultivate executive client relationships.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

Design and deliver end-to-end web applications and data pipelines that integrate enterprise systems (including Oracle). Build high-performance data models, dashboards (Power BI), REST APIs, and UI components. Integrate tools like Jira and Smartsheet, implement logging/instrumentation (ELK), and collaborate in Agile to provide documentation, training, and ongoing support.

The Data Strategy Manager will lead projects to deliver data strategy solutions in Life Sciences, manage client relationships, and mentor team members.

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, develop, and maintain SAP Analytics Cloud solutions (dashboards, stories, reports, planning models, predictive apps). Build data models, integrations with SAP and non‑SAP sources, optimize performance, support planning/forecasting cycles, testing, production support, documentation, and stakeholder workshops to translate business requirements into scalable analytics and planning solutions.

Design, develop, and execute data migration solutions for Dynamics CRM/365 using KingswaySoft and SSIS. Build SQL queries, stored procedures, and SSIS packages; perform ETL, data mapping, cleansing, validation, testing, and production deployments. Migrate structured and unstructured data (attachments, correspondence), troubleshoot integration issues, and produce technical migration documentation while collaborating with senior developers and business analysts.

Design, develop, and execute enterprise CRM data migrations into Microsoft Dynamics CRM/365 using KingswaySoft and SSIS. Extract, transform, cleanse, validate, and load structured and unstructured data from legacy systems, optimize SQL/SSIS, troubleshoot performance, support integrations and customizations, perform validation testing and production cutovers, and document migration architecture and procedures while ensuring data governance and security compliance.

The Sr. Business Analyst is responsible for effective communication, proactivity, and expertise in Amdoc's CES Suite and the telecom domain, along with TMForum certifications.

Hands-on Senior Data Engineer to maintain and optimize an Oracle-centric enterprise data warehouse, manage cloud-to-Oracle integrations, evolve ETL/ELT pipelines, and help build a hybrid lakehouse (Apache Iceberg, OCI Object Storage, Parquet). Requires performance tuning, Linux administration, Java debugging, and close collaboration with senior client stakeholders. Contractor role with possible conversion to full-time.

The Data Lead will manage data migration projects, develop migration plans, ensure data integrity, and lead a team of analysts and developers.