Top Senior Analytics Jobs in Philadelphia, PA

Develops credit card analytics strategies to grow partner relationships and customer engagement. Integrates and analyzes large data sets, applies statistical techniques and predictive modeling, builds secure data environments, evaluates measurement tools, and delivers actionable insights. Leads dashboard and performance metric development while collaborating with marketing, product, analytics, vendors, and other cross-functional teams.

Leads advanced predictive and prescriptive analytics initiatives supporting DLA Clothing and Textiles demand planning, inventory, budgeting, supply-chain operations, and mission readiness. Develops statistical models, analytical frameworks, dashboards, and self-service products; coordinates data and analytics across JDA, EBS, SAP, EDW, SAS, and other DLA environments. Manages large-scale solution development and deployment, identifies analytics opportunities, and translates complex analyses into actionable stakeholder insights.

Build and maintain data ingestion, warehousing, modeling, historical repository, data quality, reconciliation, lineage, and regulatory reporting solutions for financial services risk programs. Analyze complex data issues, support testing and production activities, and collaborate with risk, compliance, audit, technology, and reporting stakeholders. Develop datasets for Power BI and ensure audit-ready documentation in regulated environments.

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.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs and implements governed enterprise data pipelines and Snowflake archival solutions supporting acquisitions, integrations, compliance, reporting, and analytics. Partners with architecture, security, application, infrastructure, business, and vendor teams to translate requirements into scalable pipelines, mappings, quality controls, monitoring, documentation, and deployment plans. Leads migration, cutover, validation, hypercare, and operational handoff activities while improving reusable engineering patterns, automation, performance, cost efficiency, and data observability.

Leads actuarial and analytics initiatives across insurance product lines, applying actuarial, statistical, pricing, reserving, forecasting, and quantitative analysis techniques. Drives data, tool, and process modernization; translates business needs into analytical solutions; provides strategic recommendations; and communicates findings to senior stakeholders. Manages a small team, mentors talent, collaborates across business units, and supports enterprise initiatives and continuous improvement.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Designs and implements governed enterprise data pipelines supporting acquisitions, system integration, archival, reporting, analytics, and compliance. The role uses Snowflake to build scalable ingestion, transformation, validation, reconciliation, and archival solutions. It partners with architecture, security, infrastructure, application, business, vendor, and M&A teams; creates mappings and documentation; supports migration, cutover, go-live, and hypercare; and leads reusable, secure, observable data engineering practices.

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

Leads marketing analytics, predictive modeling, segmentation, and experimentation to improve acquisition, retention, and pipeline performance. Designs and maintains machine learning models, governs A/B and multivariate testing, translates insights into campaign execution, and evaluates analytics platforms. Manages budgets, regulatory compliance, strategic initiatives, and team performance while partnering with Finance, Sales, Operations, IT, and servicing teams. The role is fully on-site with occasional adjusted schedules.

Analyze customer, product, category, and digital marketing data to identify trends, risks, and growth opportunities. Build dashboards, maintain reporting processes and data structures, translate findings into actionable recommendations, and present insights to technical and non-technical stakeholders. Partner with marketing channel owners and cross-functional teams to support customer acquisition, retention, lifecycle health, and global retail growth.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

Analyze user behavior data and produce reports using advanced Google Analytics configuration, Google Tag Manager, R, and visualization tools. Aggregate data from e-commerce and marketing automation platforms, including Drupal-based sites, and collaborate with technology, product, and marketing teams to apply analytics toward business challenges.

Lead complex analyses and modeling to uncover drivers of performance, develop actionable insights and executive-level storytelling, own performance analyses, build decision frameworks, create dashboards, and mentor junior analysts to influence strategic business decisions.

Design, build, and support data integrations between PeopleSoft/Oracle Fusion and legacy systems (Workday, Veradigm, Meperia). Map and convert legacy data, develop ETL with ODI/SSIS, use PS Query and PL/SQL for transformations, provide Level 2/3 integration support, troubleshoot issues, and collaborate with stakeholders.

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

The role involves managing client relationships, leveraging analytics for marketing decisions, leading client services, and guiding 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.

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 a team of business analysts to turn product and customer data into actionable insights, engage directly with customers, drive analytics and data model development, advise product and customer success teams, present strategic findings to leadership, and ensure analytics demonstrate customer value and inform business decisions.

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 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.