Top Senior Analytics Jobs in Philadelphia, PA

Leads the design, development, and support of enterprise analytics, reporting, dashboards, and data models. Partners with business and technology teams to translate requirements into scalable solutions and actionable insights. Develops SQL transformations, Power BI and SSRS reports, and cloud analytics environments using AWS Athena, Snowflake, and Microsoft Fabric. Establishes data governance, quality, security, and reporting standards; troubleshoots complex issues; and provides technical leadership for modernization, cloud migration, mentoring, and continuous improvement initiatives.

Designs and maintains production data pipelines for AI usage and cloud billing data, normalizing costs for accurate attribution and chargeback. Builds Power BI dashboards, automates recurring financial reporting, implements quality controls and anomaly detection, and ensures reliable, auditable cost data. Partners with Finance and FinOps stakeholders to evolve data models, tagging standards, allocation logic, and reporting as AI consumption grows.

Conduct competitive and strategic intelligence research across AI, technology, insurance, and financial services. Monitor emerging trends, funding, news, analyst reports, filings, and market activity; synthesize findings into updates, briefs, profiles, and deep-dive assessments. Build systematic AI-enabled research and reporting processes, identify partnership and product opportunities, and present actionable insights to technical, strategy, and senior leadership teams.

Leads client-facing marketing analytics and data strategy initiatives, including cross-channel performance storytelling, measurement roadmaps, campaign reporting, custom analysis, and optimization recommendations. Owns client data technology stacks, ensures accurate data feeds, develops visualization and analytics solutions, presents insights, manages client relationships, and mentors peers. The role requires digital media analytics experience, data visualization, marketing measurement, SQL and analytics infrastructure familiarity, and strong communication skills.

Leads complex operational analytics from problem definition through recommendations and outcome measurement. Partners with senior leaders and cross-functional teams to connect operational, client experience, digital, and other data. Develops trusted metrics, measurement frameworks, executive narratives, and proactive insights that improve business performance. Mentors analysts and advances analytical standards and capabilities across the organization.

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.

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.

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.

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.

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.

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.

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.