Top Hybrid Data & Analytics Jobs in Philadelphia, PA
The Information Security Analyst will be responsible for ensuring the security of platforms, products, and services at a fintech company. Responsibilities include conducting vulnerability assessments, security reviews, contributing to vulnerability management, and supporting regulatory compliance.
Rebate Analyst I at Takeda responsible for rebate data mapping, validation, and processing. Requires strong analytical skills, communication skills, and proficiency in Excel. Hybrid work model in Exton, PA.
Support delivery of Risk Management Wholesale Risk Chief Data Office mandates related to Data Risk Management Policy and Standard. Collaborate with stakeholders to oversee delivery of Firmwide Data Management initiatives. Implement and maintain Data Quality Framework. Provide status updates, escalate risks/issues, and drive operational improvements within the team.
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Manager role in SAP Human Capital practice, focusing on SAP SuccessFactors/HCM solutions, data migration, and integrations using JAVA and Python programming languages.
As a Data Privacy Analyst, you will play a crucial role in ensuring the protection and compliance of personal data within our organization. Responsibilities include monitoring compliance with data privacy laws, developing and maintaining data privacy policies, conducting Privacy Impact Assessments, managing data mapping and inventory, providing privacy training, and responding to data privacy incidents.
The Market Research Associate Director will be responsible for planning, managing, and executing market research projects in the Oncology field. They will provide strategic insights, answer key business questions, and produce actionable recommendations for the Marketing/Commercial Team.
Senior Business Analyst role in Marketing, Analytics & Product Strategy at Capital One, responsible for identifying business challenges, developing strategies, performing analytics, and supporting marketing efforts. Requires strong analytical, communication, and strategic influencing skills.
Contribute to building enterprise-grade reporting and analytics tools, analyze data in AdTech and media domains, create statistical models, visualize data, automate data processing, create measurement products, and collaborate with product teams for automation and productization.
ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem, focusing on building ML predictive models for study design decisions. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.
Leading the Data teams at CarGurus, including Data Science, Data Engineering, and Product Data Analytics. Responsible for designing and implementing data strategies, overseeing data management, and staying up-to-date with emerging trends and technologies in the data space.
Top hybrid Companies in Philadelphia, PA Hiring Data + Analytics Roles
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