Top Data & Analytics Jobs in Philadelphia, PA

Supports Technology and Digital Quality initiatives through business process and data analysis, data ingestion, statistical analysis, reporting, dashboard development, automation, and AI validation. The intern prepares datasets, identifies insights, develops recommendations, documents processes, and communicates findings to technical and non-technical stakeholders. The role collaborates with quality, finance, operations, and other departments while contributing to continuous improvement and data-driven decision-making.

Maintains automotive catalog data quality by loading, validating, transforming, and publishing parts, vehicle, labor, tire, and interchange information. Uses Excel, SQL, XML feeds, relational databases, scripting, and catalog systems to identify and resolve defects. Collaborates with product, development, customer support, and data teams, responds to customer queries, maintains data standards, and supports continuous improvement with limited supervision.

Leads end-to-end analytics projects for FINRA’s regulatory operations, including scoping quantitative methods, developing predictive pipelines, expanding data sources, and delivering analytics capabilities. Promotes advanced analytics adoption, supports cross-market surveillance, engages stakeholders, responds to research requests, and mentors analysts. Requires collaboration across delivery teams and participation in strategic analytics initiatives.

Leads the target-state architecture, standards, modeling, governance, reliability, and evolution of an enterprise data platform spanning lakes, warehouses, integration, semantic layers, and AI-ready capabilities. Resolves complex architecture issues, guides engineering and operations teams, oversees performance, costs, incidents, releases, and data quality, and partners with governance and business stakeholders. The role also mentors technical teams and provides expanded implementation and operational accountability during the first 6–12 months.

Designs, develops, and maintains Power BI dashboards, reports, visualizations, and data models. Translates stakeholder requirements into reporting solutions, integrates SQL, Excel, and cloud data sources, optimizes queries and report performance, ensures data accuracy and access controls, and supports data governance. Provides documentation, user guidance, and training while continuously improving analytics solutions.

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.