Top Senior Analysis Reporting Jobs in Philadelphia, PA

Lead revenue planning and forecasting for D2C, touring, and retail merchandise. Build scalable forecasting models and reporting, partner with accounts, finance, planning, and operations, run executive reporting and business reviews, identify trends and opportunities, and help shape forecasting tools and planning workflows to improve commercial visibility and accuracy.

The Senior Relativity Archiving Analyst will vet, archive, and purge Relativity workspaces and file shares, collaborating with management and documenting the approval process for archived data.

Lead Databricks pre-sales discovery and design Lakehouse architectures, author proposal technical content, run proofs-of-concept, and act as lead architect on major engagements. Own the Databricks partner relationship and co-sell motion, drive certification and internal enablement, resolve performance and governance challenges, and ensure successful production handoffs while building partner-sourced pipeline and scaling the Databricks practice.

Develop and implement portfolio optimization frameworks, algorithms, and strategies while analyzing performance in live trading. Requires strong quantitative skills and programming expertise.

Partner with stakeholders to define reporting needs; design, build, and maintain Power BI dashboards; analyze and model data in Snowflake using SQL; validate business logic and testing; document report logic and promote design consistency; train stakeholders and contribute to reporting governance and analytics best practices.

Design, implement, and maintain cloud-based data pipelines and platforms. Advise clients on best practices, partner with stakeholders to translate requirements, provide technical leadership and mentoring, and stay current with cloud data technologies and architectures.

Design, build, and maintain workforce data models and pipelines from HCM/payroll and other systems to produce governed, analytics-ready datasets, dashboards, and automated reporting using Microsoft technologies. Ensure data quality, lineage, security, and collaborate with HR, IT, Finance on integrations, HCM implementations, and analytics expansion.

Manage impact data collection, validation, analysis, and reporting across 15–20 programs. Design impact frameworks, dashboards, surveys, and reports; ensure data quality, align metrics with organizational KPIs, and support program design and funder reporting.

Owner of enterprise data health: monitor and enforce data quality across CRM, AMS, ERP, data warehouse and integrations. Maintain system-of-record registry, track ownership gaps, validate integration fidelity, support SDLC reviews, produce data health scorecards and executive reports, and drive issue resolution through Service Desk with stakeholders and technical teams.

The role focuses on developing product-specific analytics strategies, managing projects, and collaborating across teams to integrate analytics into business processes. Expect project prioritization, data analysis, and communication of findings to stakeholders.