Top Data & Analytics Jobs in Philadelphia, PA

Manage and maintain the college's database systems (SIS-focused) to ensure integrity, availability, security, and performance. Responsibilities include configuring databases, patching/updating, malware protection, account management, performance tuning, capacity planning, monitoring, and documentation. Collaborate with reporting groups and campus stakeholders to optimize reports and database usage.

The Relativity Archiving Analyst will archive and purge data from Relativity workspaces, move file shares to archives, and document the archiving process while collaborating with DOJ management.

Gather and verify metals recycling pricing data, set price assessments per methodology and IOSCO principles, write market commentary and news, expand and manage industry contacts, peer-review pricing, provide coverage for colleagues, engage markets through events and presentations, and handle market inquiries.

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.

The Senior Business Systems Analyst leads data requirements for enterprise data initiatives, bridging business and technology to ensure data governance and quality in a regulated financial environment.

Assist in consulting engagements focusing on financial analysis, data modeling, and litigation support. Involves analysis of large datasets and financial documentation.

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.

Lead teams to design, build, and operate scalable, AI-ready data pipelines and ecommerce data products (especially Shopify). Build semantic layers, curated data marts, and data models; ensure data quality, monitoring, and performance. Collaborate with data scientists, analysts, and governance to support feature engineering, ML datasets, and reliable downstream consumption.

Looking for a Senior Business Analyst to gather requirements, collaborate with technical teams, and lead testing efforts, ensuring documentation and relationships are maintained with business teams.

The Lead Data Analyst will solve complex business problems using large datasets, automate workflows, and provide insights to influence marketing and growth strategies. Responsibilities include data analysis, statistical modeling, and collaboration with various teams to improve efficiency and decision-making.