Top Remote Data & Analytics Jobs in Philadelphia, PA
As a Data Analyst at Doximity, you will analyze extensive datasets to identify behavioral patterns of medical professionals, contribute to product and client-facing analytics, and collaborate with teams to lead data projects from ingestion to analysis and recommendations.
As a Senior Data Engineer, you will enhance the data platform by implementing features, managing full project lifecycles, and collaborating with developers, data scientists, and stakeholders to ensure optimal data infrastructure and decision-making support.
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
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The Catastrophe Analyst role at CNA involves analyzing catastrophe impacts, creating portfolio models using catastrophe models, providing insights from data analysis, developing catastrophe strategies, and building reporting dashboards. The position also requires collaboration with various teams and presenting findings to senior management.
As a Senior Data Analyst at EFG, you will guide analytics projects, build data products like dashboards, and drive business insights. You'll play a key role in understanding data ecosystems and enhancing analytical capabilities within the team while collaborating with business partners.
The Senior Revenue Operations Analyst will execute commission runs, provide data-driven insights to the GTM team, refine Salesforce workflows, collaborate with engineering on integrations, oversee automated email workflows, and maintain GTM process documentation.
The Data Scientist will analyze structured and unstructured data to extract insights and develop algorithms using statistical techniques. Responsibilities include data gathering, processing, and visualization to optimize business outcomes, as well as collaborating with data professionals to create data-driven solutions.
The Senior Data Scientist at Cohere Health is responsible for conducting data analysis to support product and leadership decisions, exploring healthcare and product usage data, and developing models to evaluate the impact of health outcomes. They will collaborate with teams to develop project requirements, present data-driven insights, and propose strategies to enhance healthcare services.
The Manager, Risk Analytics oversees fraud loss monitoring and mitigation, collaborates with various teams on data analysis, and leads fraud strategy implementation. Responsibilities include managing a team of analysts, monitoring KPIs, and driving projects for fraud prevention and control improvements.
As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.
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