Top Data & Analytics Jobs in Philadelphia, PA

Contributes to AI and data analytics initiatives within Internal Audit by developing agents, workflow automation, analytics solutions, and Power BI dashboards. Advises audit stakeholders, supports AI strategy and innovation projects, tracks performance metrics, identifies process improvements, and helps deliver training. The role also requires governance compliance, requirements gathering, communication, and collaboration in a hybrid environment.

Manage and maintain healthcare data assets, including medical and pharmacy claims, analytical datasets, integrations, metadata, and data quality processes. Build and validate complex SQL queries, coordinate with data suppliers and engineering teams, translate business requirements into data solutions, and support analytics, governance, documentation, and process improvement initiatives.

Maintains Salesforce data integrity, manages support requests and data loads, builds Salesforce, Tableau, and Power BI reports, analyzes revenue and sales trends, supports migrations and integrations, documents data standards, and provides actionable insights and dashboard training to revenue, executive, sales, marketing, and customer support teams.

Data Engineering Intern will build data pipelines, tools, and infrastructure for large-scale data warehousing. The intern will work with AWS, Redshift, Glue, ECS, DMS, Fivetran, Airflow, DataHub, Terraform, Python, and SQL while collaborating with Risk, Commerce, Marketing, Operations, and Finance. Responsibilities include learning the data platform, contributing production code, shipping a pipeline or infrastructure improvement, presenting work, and engaging with business stakeholders.

Leads enterprise analytics platform governance, architecture, roadmap, support, and continuous improvement. Translates business requirements into scalable analytics solutions, oversees BI and reporting tools, prioritizes backlogs, ensures security and data quality, and coordinates cross-functional delivery. Mentors analytics professionals, supports self-service analytics, standardizes solution patterns, manages stakeholder priorities, and provides technical guidance across projects and business units.

Conduct quantitative equity research and analysis, maintain and reoptimize multifactor stock-selection models, develop investment tools, prepare reports and charts, manage quantitative data, investigate AI applications, and support investment strategy and process improvements.

Manages enterprise data assets and designs data management strategies, governance frameworks, database architectures, and operational processes. Leads database modernization, migration, scalability, security, high availability, disaster recovery, performance optimization, automation, and capacity planning. Collaborates on architecture decisions, maintains documentation, ensures regulatory compliance, and mentors database administrators and developers. Requires seven years of experience, Epic ODBA certification, and expertise across relational and cloud database platforms, scripting, infrastructure-as-code, monitoring, and data architecture.

Develops end-to-end reporting and analytics solutions for Anthropologie’s merchandising and planning teams. Responsibilities include analyzing systems and data, creating and automating reports, documenting requirements, troubleshooting issues, supporting BI system design and testing, and coordinating projects across business and technology teams. The role focuses heavily on merchandise promotions and requires strong retail process knowledge, communication, prioritization, and problem-solving skills.

Analyzes financial, operational, sales, and customer data for the CEO and executive leadership team. Reconciles inconsistent data sources, builds models, explains performance drivers, and delivers actionable recommendations through board-quality reports and presentations. Leads cross-functional CEO initiatives, supports acquisitions and integration, manages executive reporting, and provides continuity for executive office operations. Handles confidential information and contributes to future analytics and reporting architecture.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.