Top Data & Analytics Jobs in Philadelphia, PA

Supports and modernizes enterprise data services, including SQL Server and cloud-based ETL/ELT, data warehouses, pipelines, data integration, dimensional modeling, and OLTP environments. Develops SSIS, Azure Data Factory, and Microsoft Fabric pipelines; troubleshoots production data and integration issues; optimizes SQL and stored procedures; documents data flows and lineage; and collaborates with technical and business teams on secure, compliant data solutions.

Conduct environmental market research, regulatory research, suitability assessments, GIS mapping, competitor analysis, and large-dataset analysis. Build reports and dashboards using Excel, Power BI, and GIS tools, and translate findings into market assessments, white papers, presentations, and proposals. Support business development and regional strategy teams across mitigation, water quality, and endangered species solution lines while collaborating with sales, science, engineering, finance, policy, regulators, and consultants.

Leads retrospective analysis of wearable sensor and physiological data, developing analysis tools, metadata systems, visualizations, statistical models, and machine learning workflows. Investigates data anomalies across hardware-to-cloud systems, curates large heterogeneous datasets, defines analytical requirements, and translates complex data into products and reports for technical, executive, and end-user audiences. Collaborates with engineering, product, and business stakeholders while establishing analytical standards and tooling.

Drive global insights excellence across B2B markets by enabling research methodologies, KPI frameworks, reporting standards, and shared insight language. Translate business priorities into structured insight needs, guide stakeholders in interpreting research and analytics, orchestrate activities across markets and partners, maintain governance, and improve methodologies and ways of working. The role requires strong stakeholder management and the ability to turn complex information into clear, actionable business outputs.

Leads reporting, business intelligence, data integration, ETL, data quality, and regulatory reporting functions. Manages reporting and integration staff, establishes data standards and governance practices, oversees dashboards and analytics products, and partners with clinical, IT, quality, and operations teams. Requires healthcare data expertise, SQL and BI tool proficiency, project leadership, and at least five years of relevant experience. Philadelphia residency and U.S. work authorization without future sponsorship are required.

Own the strategy, architecture, roadmap, and engineering standards for a Databricks-based data platform and lakehouse. Lead reusable ingestion, transformation, testing, governance, observability, and data-quality capabilities. Provide technical leadership for business separation, analytics, AI enablement, vendor management, and distributed engineering teams. Translate business needs into platform capabilities and measurable delivery plans while ensuring scalability, security, reliability, cost efficiency, and production readiness.

Leads advanced predictive and prescriptive analytics initiatives supporting DLA Clothing and Textiles demand planning, inventory, budgeting, supply-chain operations, and mission readiness. Develops statistical models, analytical frameworks, dashboards, and self-service products; coordinates data and analytics across JDA, EBS, SAP, EDW, SAS, and other DLA environments. Manages large-scale solution development and deployment, identifies analytics opportunities, and translates complex analyses into actionable stakeholder insights.

Build dashboards, analytics, data pipelines, and quantitative tools for a corporate credit trading team. Analyze market, pricing, liquidity, dealer activity, P&L, positions, and risk data; identify relative-value opportunities; automate processes; backtest ideas; and collaborate directly with traders to develop practical solutions for live trading.

Build and support GCP-based data pipelines, ETL/ELT processes, data models, analytics dashboards, and AI/ML solutions. Assist with BigQuery optimization, batch and streaming ingestion, Vertex AI and Gemini experimentation, MLOps, prompt engineering, embeddings, RAG, governance, data quality, and security. Participate in client requirements gathering, technical implementation, documentation, and collaboration with senior engineers and architects.

Analyze NPS and customer experience data across multiple sources, identify trends and drivers, maintain dashboards and recurring reports, and translate findings into actionable narratives. Partner with CX, research, analytics, and business stakeholders to answer complex questions, support measurement initiatives, and inform customer experience strategy. The role requires strong quantitative research, data visualization, communication, and organizational skills, with regular onsite work in Philadelphia.