Top Analytics Jobs in Philadelphia, PA

Lead business operations and analytics for Content Acquisition & Enterprise: develop and automate reporting, ensure data integrity, analyze deals and P&L impact, drive process improvements, mentor analysts, and support senior leadership with financial and operational insights.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Lead end-to-end digital funnel and customer journey analytics to drive revenue, lead quality, and customer experience. Partner with Marketing, Product, Sales, and Martech to define measurement strategy, enhance tracking and data integration, run experimentation (A/B and multivariate), deliver executive insights, and recommend optimizations for personalization and conversion improvements.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Decision Analytics Associate Consultant will support clinical data strategies, analyze clinical trial data, and collaborate with cross-functional teams, ensuring adherence to industry standards.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

The Oncology Analytics & Insights Lead drives oncology analytics strategy and execution, partnering with senior stakeholders to deliver actionable insights and support commercial strategies across the organization.

The Data Scientist will improve performance through innovative analytics solutions, collaborate with stakeholders to solve business problems, and design models to derive insights.

Designs and maintains marketing performance reports, dashboards, and visualizations (Power BI). Analyzes marketing, customer, and sales data to surface trends, measure campaign effectiveness, and recommend actions. Performs data validation, reconciliation, and quality reviews. Partners with Marketing, Sales, Technology, and Data teams to improve data integration and reporting. Supports projects, audits, compliance, and continuous process improvement to demonstrate ROI of marketing investments.

Designs and develops complex BI reports and dashboards, implements business rules, defines KPIs and governed data sources, performs statistical modeling and ad hoc analysis, coordinates with IT and embedded analysts to deliver analytics solutions for partners, legal staff, and firm management.

Design, develop, and maintain SAP Analytics Cloud solutions (dashboards, stories, reports, planning models, predictive apps). Build data models, integrations with SAP and non‑SAP sources, optimize performance, support planning/forecasting cycles, testing, production support, documentation, and stakeholder workshops to translate business requirements into scalable analytics and planning solutions.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Consultants leverage data strategies, governance, and advanced analytics to help businesses achieve strategic initiatives through data-driven decision-making.

Manage client relationships by delivering insights from Crossix Analytics Products, ensuring successful engagement through analytical thinking and project management.

Lead marketing analytics projects for clients using quantitative methods (MMM, attribution, forecasting). Provide analyses, recommendations, presentations, and manage a team. Work includes digital and offline impact assessment, pricing/promotion analytics, and customer-level data analysis. Significant client interaction and frequent travel required.

Lead enterprise data and analytics strategy across the firm: define multi-year vision, modernize analytics onto Microsoft Fabric Lakehouse, set governance and KPIs, consolidate data, influence C-suite, and build a high-performing data organization accountable for business outcomes.

Lead college-wide reporting, analytics, and data visualization; supervise data team; maintain dashboards and Tableau Cloud; coordinate accreditation data; implement data quality processes; build predictive models and KPIs; manage scheduled and ad hoc reports; support data warehouse implementation and staff data training.

Support implementation and post-implementation ERP reporting and analytics: gather/report requirements, configure and test reports, write specs and user procedures, create/retrofit reports, execute testing, document issues and enhancements, train users, and provide ongoing maintenance and optimization.

Perform large-scale data acquisition and analysis for Elan's credit card and payments portfolio. Develop statistical and predictive models, interpret trends, produce clear presentations and recommendations, partner with business stakeholders, and monitor results to drive data-informed decisions while ensuring compliance with company standards.

Lead a cross-functional actuarial team to build and scale pricing/rating capabilities on the Earnix platform. Own technical model buildout, automation, analytics, collaboration with data science and engineering, vendor management, and talent development while driving strategic initiatives and translating complex technical work for business stakeholders.

Develop and productionize analytical models and data products to support underwriting and portfolio management. Apply statistical and machine learning methods to insurance datasets, perform exploratory analysis, feature engineering, validation, and create visualizations and presentations for technical and business stakeholders. Partner with underwriting, broking, actuarial, and portfolio teams to deliver scalable underwriting analytics and monitoring solutions.

Develop and productionize underwriting analytics, predictive models, and decision tools using statistical and machine learning techniques. Partner with underwriting, broking, actuarial, and portfolio teams to perform feature engineering, exploratory analysis, model validation, visualization, and monitoring to support risk segmentation, portfolio insights, and underwriting optimization.

The ERP Data Analytics and Reporting Analyst handles requirements gathering, report configuration, and post-implementation support for the ERP system.

Design, build, and iterate analytics and reporting solutions for global R&D; combine data from varied sources, maintain the MyInsights portal, support adoption and training, partner with IT/vendors, prototype UX using design thinking, and optimize solutions to drive insights and consolidation.