Top Analytics Jobs in Philadelphia, PA

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.

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.

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

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.

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.

Two-year rotational program for recent graduates to analyze structured and unstructured data, build dashboards and visualizations, partner with business and tech teams, apply data governance, and deliver insights using SQL, Python, Tableau and cloud platforms to influence strategy and improve client and operational outcomes.

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.

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.

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 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.

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.

Lead enterprise data architecture, governance, and MDM for a complex SAP-centric landscape. Define canonical models, data standards, data quality, integration patterns (API, event, batch, EDI), and SoR/SoE principles. Oversee MDM rollout, data migration/cleansing, data lineage, and a small team of data engineers to ensure consistent master and analytical data across SAP, Salesforce, MES, quoting/pricing, and finance systems.

Lead group-wide catastrophe risk analytics strategy, model aggregation, and portfolio optimization. Partner with underwriting, actuarial, finance and vendors to deploy RMS/AIR-based workflows, advanced analytics, and reporting; manage and mentor a global analytics team while assessing emerging perils and regulatory impacts.

Lead people analytics operations for the region: manage HRIS (UKG) administration, integrate Talent data into Google BigQuery, produce reports and visualizations, audit and improve data quality, train stakeholders, and develop metrics, KPIs, and predictive models to support workforce planning and regional strategy.

Lead media analytics for assigned client accounts, translating media and business goals into measurement frameworks, optimization recommendations, and clear reports. Mentor analysts, build reusable frameworks, work with Media, Data, and Data Science to improve tagging, data integration, and dashboards, and present performance findings to clients. Focus on paid media measurement, optimization, QA, and capability-building across the analytics organization.