Data Analyst

• Build and maintain strong partnerships across technology, analytics, and business teams
• Prepare and deliver presentations, status updates, and recommendations to leadership and stakeholders
• Provide onboarding, training, and user support for enterprise analytics and data platforms
• Communicate platform performance, governance updates, and process changes to diverse audiences
• Promote compliance with data governance, risk management, and operational control requirements
• Monitor platform health, performance, and usage metrics to identify risks and improvement opportunities

Business Analytics Specialist

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Works closely with department roles and cross-functional study team members to create data capture solutions that support the quality and timely delivery of data
• Complies with applicable SOPs and work practices
• Learns Pfizer database technologies
• Develops knowledge of data capture tools and methods that support the accuracy and integrity of study data

Database Analyst – Clinical Data Collection Strategies

• Participate and effectively contribute to the design, development, and implementation of complex applications
• Provide technical expertise and systems design for individual initiatives
• Support SAP BRIM Data Analysis & Migration
• Analyze legacy source systems and map data to SAP BRIM target structures
• Support data extraction, transformation, cleansing, validation, and reconciliation activities
• Design, develop, and maintain SAP Data Services (BODS) jobs, workflows, scripts, and ETL processes
• Optimize ETL jobs for performance, scalability, and reliability
• Collaborate with integration teams on APIs, interfaces, and middleware solutions
• Support migration deployment activities and post-production stabilization

SAP BRIM Data Analyst / Developer, BODS, Emigal

• Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights
• Effectively communicating advanced analytics to stakeholders to inform business decisions
• Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds
• Analyze data across disparate databases/sources (including claims/EMR, DDD, and other sources) to develop insights that inform commercial business strategies
• Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization
• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies
• Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders
• Lead and mentor a team of data scientists and business analysts (on-shore and off-shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project

Associate Director, US Market Engagement, Data Science & Advanced Analytics

• support ECO by helping to build and enhance data-driven solutions with a focus on critical-to-compliance risk areas
• partner with IDEAS team members and ECO stakeholders to understand business needs, translate them into technical requirements, and deliver well-tested solutions
• evaluate data using analytical and logical reasoning for the discovery of insights
• contribute to projects from concept to deployment, including requirements gathering, development, testing, and documentation

Senior Compliance Data Analyst – AI

• Lead the development, governance, and continuous improvement of global supply chain reporting and analytics frameworks
• Translate business and transformation priorities into clear analytics requirements and performance metrics
• Partner with digital and/or technology organization to automate reporting processes
• Ensure data integrity, consistency, and standardization across reporting solutions
• Drive adoption of analytics tools and reporting solutions through stakeholder engagement
• Identify trends, risks, and opportunities across supply chain operations and communicate insights clearly to senior leadership
• Contribute to the roadmap for analytics enablement, including process improvements, automation, and scalability of reporting capabilities

Manager, Reporting – Analytics

• Lead the development, governance, and continuous improvement of global supply chain reporting and analytics frameworks to support strategic and operational decision-making.
• Translate business and transformation priorities into clear analytics requirements and performance metrics aligned to Global Supply Chain objectives.
• Partner with digital and/or technology organization to automate reporting processes and enhance data compilation and visualization capabilities.
• Ensure data integrity, consistency, and standardization across reporting solutions by establishing governance, controls, and best practices.
• Drive adoption of analytics tools and reporting solutions through stakeholder engagement, training, and change management support.
• Identify trends, risks, and opportunities across supply chain operations and communicate insights clearly to senior leadership.
• Contribute to the roadmap for analytics enablement, including process improvements, automation, and scalability of reporting capabilities.

Manager, Reporting & Analytics

• Oversee the analysis and reporting of population-level metrics on a monthly, semester and annual basis
• Build, run, and perform routine analysis of data reports for population-level metrics
• Assist public health surveillance reports monthly, semesterly, and annually
• Support queries and workflows to manage and report student immunization and insurance requirements and transactions
• Evaluate and report on population level data acquired through Wellness at Penn services
• Create analysis plans and develop reports to present findings
• Develop innovative approaches for data sharing and visualization

Data Analyst, Wellness

• Transcribing and annotating speech corpora for training and evaluation of speech and language technologies
• De-Identifying transcriptions, audio files and accompanying documents to ensure that data can be used for research and development.
• Defining guidelines and generating annotations for higher level linguistic description of speech and discourse elements in conversational speech
• Training of interns and contract workers
• Quality analysis of transcription and annotation work

Technical Data Analyst

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
• Create scalable, interoperable, and AI-ready data products that connect discovery, preclinical, clinical, safety, and real-world evidence domains.
• Establish the data architecture, integration strategy, metadata framework, and productization approach needed to support semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications.
• Define the future-state scientific data ecosystem and ensure high-quality data products are delivered to support translational science and patient safety initiatives.
• Build AI reasoning models to support data-driven translational safety decision making.
• Define and execute a scientific data product strategy supporting Discovery Research, Translational Science, Preclinical Safety, Clinical Development, Pharmacovigilance, Real-World Evidence.
• Design integration frameworks connecting heterogeneous scientific data sources and define data harmonization strategies spanning SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, Real-world data.
• Lead design and implementation of curated datasets, semantic-ready data products, feature stores, metadata products, scientific data services, and AI-ready data assets.
• Define metadata standards and data quality frameworks, implement lineage, provenance, traceability, and FAIR data principles.

Principal Scientist, Data Science – Data Products, Integration & Analysis

• Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development
• Create scalable, interoperable, and AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence domains
• Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications
• Define the future-state scientific data ecosystem
• Build AI reasoning models to support data-driven translational safety decision making
• Partner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products
• Define implementation strategy for scientific data products deployed on AWS, ensuring alignment with enterprise architecture, security, governance, and AI-readiness requirements

• Lead a high-performing team responsible for evaluating new and existing data assets for use across TransUnion products and services.
• Oversee end-to-end assessment of alternative and traditional data sources, including planning, execution, coverage analysis, quality validation, and business value determination.
• Develop and standardize scalable due diligence methodologies including data profiling, coverage analysis, gap analysis, lift analysis, and simulation testing.
• Translate complex analytical findings into actionable insights that influence product strategy, business decisions, and revenue-generating opportunities.
• Partner with Product, Data Acquisition, Solutions, and Technology teams to identify and prioritize opportunities that enhance existing products and support new offerings.
• Drive enterprise data quality initiatives by identifying improvement opportunities and implementing best practices across data management processes.
• Support data onboarding, cataloging, and analysis activities within the OneTru platform.
• Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management.
• Lead cross-functional initiatives that influence data investment decisions and enterprise data strategy.
• Coach, mentor, and develop team members while fostering a culture of innovation, accountability, and continuous improvement.

Data Analysis Manager

• Work with external suppliers, trial customers and other internal/external partners to establish, align and confirm data management and/or clinical data management expectations to the business for assigned trial(s) to include but not limited to: Gather and/or review content and integration requirements for Electronic Code of Federal Regulations (eCFR) and other data collection tools.
• Participate in establishing conventions and quality expectations for clinical data.
• Participate in establishing expectations for dataset content and structure.
• Work with others to set timelines and follow-up regularly to monitor delivery of all data management milestones.
• Review clinical data management documents (including submission package) for appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency.
• Work with DML to facilitate compliance with regulatory guidelines and the documentation matrix.
• Work with DML to facilitate real-time inspection readiness of all assigned deliverables for the trial.
• Participate in regulatory agency inspections and Johnson & Johnson internal audits as necessary.
• Work with DML to plan and track content, format, quality, and timing of applicable data management deliverables.
• Work with DML to ensure deliverables are on time.
• Support the assigned clinical working group(s) to ensure that DM and TA trial needs and deliverables are met.
• Identify and communicate lessons learned with support from DML and frequently asked questions at trial level.
• Contribute to the creation of key functional plans (e.g., study Integrated Review Plan) ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency.
• Participate in process, system, and tool improvement initiatives.
• Perform trial level oversight controls and/or execute data management activities per applicable procedures, with DML direction.

Analyst, Global Data Manager

• Work with external suppliers, trial customers and other internal/external partners to establish, align and confirm data management and/or clinical data management expectations to the business for assigned trial(s) to include but not limited to:
• Gather and/or review content and integration requirements for Electronic Code of Federal Regulations (eCFR) and other data collection tools.
• Participate in establishing conventions and quality expectations for clinical data.
• Participate in establishing expectations for dataset content and structure.
• Work with others to set timelines and follow-up regularly to monitor delivery of all data management milestones.
• Review clinical data management documents (including submission package) for appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency.
• Work with DML to facilitate compliance with regulatory guidelines and the documentation matrix.
• Work with DML to facilitate real-time inspection readiness of all assigned deliverables for the trial.
• Participate in regulatory agency inspections and Johnson & Johnson internal audits as necessary.
• Work with DML to plan and track content, format, quality, and timing of applicable data management deliverables.
• Work with DML to ensure deliverables are on time.
• Support the assigned clinical working group(s) to ensure that DM and TA trial needs and deliverables are met.
• Identify and communicate lessons learned with support from DML and frequently asked questions at trial level.
• Contribute to the creation of key functional plans (e.g., study Integrated Review Plan) ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency.
• Participate in process, system, and tool improvement initiatives.
• Perform trial level oversight controls and/or execute data management activities per applicable procedures, with DML direction.

Global Data Manager

• Join a high-performing analytics team focused on supporting Elan's credit card and payments portfolio
• Work on big data/analytics projects that gather and integrate large volumes of data
• Perform analysis, interpret results and develop actionable insights and recommendations
• Acquire data from multiple data sources in order to perform analysis
• Identify, analyze and interpret trends or patterns in complex data in order to provide answers to business questions and provide recommendations for action
• Interpret data and analyze results using various statistical techniques and tools
• Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations
• Collaborate with various partners to provide a holistic view of the analysis
• Measure and monitor results of applied recommendations and present adjustments
• Ensure all data acquisition, sharing and results of applied recommendations are compliant with company standards

Data Analyst – Credit Card Portfolio Analytics

• Lead the design and implementation of data and information architecture
• Sustain & troubleshoot PowerBI dashboards
• Collaborate with Customer Solutions teams
• Investigate reporting issues
• Monitor use of reports and dashboards

Senior Data Analyst, Customer Analytics

• Design, build, and maintain curated, reusable datasets and data products for the global HCC data ecosystem, including transparency reporting.
• Design and implement data quality controls within data products to improve completeness, accuracy, consistency, and timeliness.
• Proactively identify root causes of data quality issues and partner with process and system owners to prevent recurring defects.
• Contribute to the data product lifecycle, including intake, design, delivery, maintenance, issue management, and continuous improvement.
• Structure data for analytics, audit, compliance monitoring, reporting, and business consumption.
• Support ad hoc data requests, rapid insights, PoCs, and pilots by providing fit-for-purpose data assets and practical guidance.
• Participate in a Data Concierge model to triage incoming data requests, provide rapid insights, or route needs into structured data product development.
• Partner with analytics, strategic enablement, technology, regional HCC, and reporting teams to co-develop data products and respond to changing business, compliance, and regulatory needs.
• Enable business users through structured, reusable data assets, clear documentation, and practical guidance on appropriate data use.
• Support data catalogue development and data discoverability by maintaining metadata, definitions, lineage, and usage documentation.
• Ensure data products align with data governance standards, privacy expectations, access controls, and approved ways of working.
• Identify data process gaps, risks, and improvement opportunities across the HCC data ecosystem.

Lead Analyst – Data Products, Compliance Data Enablement

• Own recurring HR reporting deliverables (monthly/quarterly) for business and HR leadership, ensuring outputs are consistent, accurate, and delivered on schedule
• Translate business needs into clear measurement approaches by defining metrics, documenting assumptions, and ensuring consistent methodology across teams and reporting cycles
• Support program and project management for global HR initiatives: define scope, set milestones, monitor timelines, mitigate risks, and deliver regular status reports
• Develop and enhance reporting templates and dashboards by improving logic, refreshing data, validating outputs, and implementing controls to strengthen data quality
• Represent Marsh Risk on cross-functional and enterprise initiatives providing oversight, guidance, and escalation as needed
• Partner cross-functionally with HRBPs/COEs, Finance, PMO, HRIS/Workday, and other data owners to align reporting requirements, resolve data issues, and implement reporting updates
• Drive process documentation and adoption by creating job aids, and guides that enable consistent data entry, tracking, and reporting
• Lead analytics routines and stakeholder enablement, including facilitating recurring calls/working sessions to communicate updates, educate HR analysts and leaders, and influence consistent practices across HR teams
• Support enterprise initiatives requiring workforce measurement and reporting such as savings/productivity programs, financial reporting, and Colleague Engagement Survey analysis in partnership with relevant COEs
• Maintain confidentiality and data integrity, applying strong judgment when handling sensitive employee information and leadership-facing reporting
• Manage ad hoc analysis requests from HR and business stakeholders

Data Analyst jobs in Pennsylvania

See all jobs on JobTailor

Business Analytics Specialist

Staff Product Manager, Data & Analytics

Database Analyst – Clinical Data Collection Strategies

SAP BRIM Data Analyst / Developer, BODS, Emigal

Associate Director, US Market Engagement, Data Science & Advanced Analytics

Senior Compliance Data Analyst – AI

Manager, Reporting – Analytics

Manager, Reporting & Analytics

Data Analyst, Wellness

Technical Data Analyst

Data Analytics Co-Op

Principal Scientist, Data Science – Data Products, Integration & Analysis

Principal Scientist, Data Science – Data Products, Integration & Analysis

Data Analysis Manager

Analyst, Global Data Manager

Global Data Manager

Data Analyst – Credit Card Portfolio Analytics

Senior Data Analyst, Customer Analytics

Lead Analyst – Data Products, Compliance Data Enablement

Senior HR Reporting & Analytics Specialist