Top Data & Analytics Jobs in Philadelphia, PA

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads enterprise data strategy and architecture for Pfizer Global Supply and Enterprise Solutions. Owns target-state architecture, canonical data models, ontologies, data contracts, governance standards, trusted data product certification, and GxP data integrity. Builds and directs architecture and stewardship teams, chairs architecture reviews, aligns federated solution teams, and partners with enterprise data, AI, ERP, cybersecurity, and identity organizations. Requires senior stakeholder influence and deep experience in enterprise data architecture, regulated environments, manufacturing, quality, supply chain, and AI readiness.

Leads data analytics and automation solutions supporting global audit engagements, with a focus on information security, cybersecurity, and technology data. Responsibilities include designing scalable data products, performing ETL and statistical analysis, automating audit testing, creating reports, managing roadmaps, overseeing production processes, and coaching team members. Partners with audit leaders and business stakeholders to assess risks, controls, compliance, and opportunities for improved audit efficiency.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

Leads commercial analytics strategy and client storytelling for pharma and agency partners. Translates campaign measurement, media mix, healthcare datasets, and cross-brand trends into actionable recommendations that support sales, renewals, product positioning, and client outcomes. Serves as a senior thought partner and public-facing industry voice, presenting data-driven insights to executive stakeholders and conferences while collaborating with Sales, Marketing, Product, and Campaign Measurement teams.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.

Leads the enterprise Data & Analytics organization, strategy, operating model, architecture, platforms, reporting, analytics, migration, integration, and governance. Oversees global teams building trusted, governed, AI-ready data foundations and enterprise reporting capabilities. Partners with executive and technology stakeholders to align investments with business goals, directs ERP and SAP data transformations, establishes data quality and stewardship standards, and manages organizational capacity, vendors, budgets, and delivery outcomes.

Leads the enterprise Data & Analytics organization, setting strategy and operating models across data foundations, architecture, analytics, migration, integration, and governance. Oversees global teams, enterprise data platforms, pipelines, reporting, SAP data initiatives, migration programs, data quality, metadata, lineage, and stewardship. Partners with executives and technology stakeholders to deliver trusted, governed, AI-ready data assets, improve reporting and analytics adoption, and align investments with business outcomes.

Executes digital attribution and campaign measurement projects, partnering with sales teams, vendors, and ad operations. Implements tracking pixels and Google Tag Manager tags, analyzes campaign performance, communicates insights to nontechnical stakeholders, manages vendor relationships, and develops scalable approaches to campaign data analysis and optimization.

Analyzes and resolves investment data exceptions, performs reporting and quality control, maintains data integrity and controls, conducts root cause analysis, improves workflows, supports testing and monitoring, and collaborates with internal and external partners to produce accurate investment data.