Top Analytics Jobs in Philadelphia, PA

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.

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.

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

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Partner with stakeholders to define reporting needs; design, build, and maintain Power BI dashboards; analyze and model data in Snowflake using SQL; validate business logic and testing; document report logic and promote design consistency; train stakeholders and contribute to reporting governance and analytics best practices.

The role involves analyzing complex datasets to provide insights, leading analytics projects, ensuring data quality, and mentoring peers. It requires expertise in advanced analytics, machine learning, and data visualization, driving automation for efficiency.

Support enterprise data and analytics initiatives using Microsoft Fabric: build data pipelines, design lakehouse/warehouse models, develop Power BI reports and semantic models, assist exploratory AI use cases, document data flows, and collaborate with engineers, architects, and business stakeholders.

The role focuses on developing product-specific analytics strategies, managing projects, and collaborating across teams to integrate analytics into business processes. Expect project prioritization, data analysis, and communication of findings to stakeholders.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Design, build, and maintain scalable data pipelines, ETL processes, and automation tools (Python, SQL, Power Apps). Partner with stakeholders on technical designs, develop Streamlit front-ends on AWS, integrate systems (SQL Server, Active Directory), and recommend process improvements and emerging technologies to enhance internal audit automation and insights.

Lead enterprise risk reporting and analytics to convert risk data into actionable intelligence. Develop and govern KRIs/KPIs, consolidate cross‑functional risk data, maintain executive and operational dashboards, ensure data integrity, and support risk reviews and strategic planning to improve resilience and mitigation.

Design, build, and operate large-scale distributed analytics pipelines for Comcast X1. Responsibilities include architecture, data integration, QA, releases, production troubleshooting, mentoring, and reliability improvements.

Lead Enrollment Management reporting and analytics: design, produce, and maintain reports and dashboards (Slate, Tableau, Python, Excel), clean and integrate data, analyze trends, present insights to stakeholders, manage a small team, and set reporting strategy to inform enrollment decisions.

Lead digital analytics strategy by partnering with product and business teams to analyze user journeys, run experiments, build dashboards, and translate multi-source data into actionable insights that optimize digital experiences and drive business outcomes.

Lead commercial analytics, market insights, and competitive intelligence to drive revenue growth, forecasting, pricing, renewals, and sales productivity. Own KPIs, data infrastructure, dashboards, predictive models, and competitive programs; partner with Sales, Marketing, Finance, Product, and Enterprise Data. Build and coach a commercial insights team, establish analytics standards, champion AI-driven decision-making, and deliver executive-ready insights for planning and strategic priorities.

Lead enterprise forecasting, metrics, and performance measurement for Financial Advisor Services. Build and validate forecasting models, produce scenario analyses and executive-ready visualizations, set data quality standards, establish recurring reporting, and mentor analysts to drive strategic decision-making and resource allocation.

Lead underwriting analytics, reporting, forecasting, and BI to support underwriting, actuarial, claims, finance and product teams. Build models, dashboards and Power BI solutions; prepare executive reports, P&Ls, forecasts, scenario analyses, and ad-hoc analyses to drive portfolio profitability and strategic growth.

Lead marketing analytics to inform strategy and measure campaign performance. Partner with stakeholders, translate business needs into analyses, build dashboards, perform advanced historical analyses, validate methods, and share best practices to drive actionable insights.

Support social selling by collecting and analyzing customer, product, and operational data; surface insights to cross-functional teams; manage escalations; design process improvements; coordinate with technology and analytics partners; participate in recurring meetings and enterprise projects to drive customer experience and operational alignment.

Lead a CX analytics team to solve complex business problems using advanced analytics, modeling, and data visualization. Mentor analysts, build analytics roadmaps and OKRs, communicate insights to senior leaders, and operationalize repeatable analytics to free bandwidth for high-value work.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

Lead marketing analytics and BI for crop protection and agribusiness, turning market, competitive, and commercial data into actionable insights. Build and maintain dashboards and ad‑hoc analyses (Power BI, Tableau, Excel), manage market research, monitor competitors and channel performance, and present recommendations to senior stakeholders to inform pricing, portfolio, supply, and go‑to‑market decisions.

Lead and oversee analytics and insights functions to drive data-informed decisions across the business, manage and develop analytics teams, deliver strategic reporting and advanced analytics, and partner with cross-functional stakeholders to support commercial and clinical objectives.