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.

Supports Cencora’s enterprise data and analytics platform modernization by collecting and analyzing datasets, creating dashboards with BI tools, tracking KPIs, conducting ad hoc analyses, documenting findings, and contributing to CI/CD and self-service solution delivery. Collaborates with cross-functional stakeholders to provide actionable insights, improve processes, and support data-driven decisions for internal and customer-facing products.

Lead enterprise-scale Akeneo PIM implementations, including solution architecture, platform configuration, data architecture, API development, and third-party integrations. Collaborate with developers, architects, clients, and stakeholders to deliver digital transformation projects. Ensure data privacy, security, and lifecycle protection while documenting technical solutions, gathering requirements, managing expectations, and mentoring junior team members.

Lead and grow a global data engineering team while establishing foundational data platforms and engineering standards. Design and oversee GCP-based pipelines, medallion data models, DataOps, monitoring, SLAs, CI/CD, governance, and data quality practices. Drive AI adoption across engineering workflows and build reliable, AI-ready data. Partner with business and technology stakeholders to prioritize roadmaps, deliver scalable solutions, and support data democratization.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.