Top Data & Analytics Jobs
As a Data Scientist at Applied Physics, you will collaborate with scientists to develop algorithms and software solutions for data analysis. Responsibilities include designing technical solutions, managing software development phases, and integrating components for information systems.
As a Sr. Web Analyst, you will analyze user behavior and website metrics to inform business decisions. You'll manage web analytics, oversee data tagging, conduct A/B testing, and collaborate across teams to support strategic goals using various analytics tools.
As a Paid Search Analyst, you'll manage performance-driven campaigns, conduct keyword research, develop and optimize paid search strategies, and measure campaign performance for healthcare clients. The role requires collaboration with internal teams and staying updated with industry trends to achieve marketing goals.
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The Division Order Analyst will maintain ownership records for clients by ensuring accuracy and integrity through the careful handling of legal documents. This role involves analyzing databases, interpreting legal documents, and collaborating with teams to resolve ownership discrepancies, while providing excellent customer service.
The Data Stewardship Manager will empower business analytics through the definition and logic of reporting metrics, drive consistency in reporting, collaborate with business units and data engineering to establish a master dataset, and support executives in data-driven decision-making.
The Software Implementation Analyst will manage projects and installations, document client inquiries, provide application support and guidance, and assist in technical design documents for effective product implementation.
The Senior Scientist I R&D will develop and optimize analytical methods for investigative testing, GMP release testing, and stability testing of products, provide project management support, and serve as a subject matter expert to junior staff.
As a Data Scientist, you'll design advanced analytical models and algorithms, conduct deep data analysis to gain insights, develop predictive models, and create visualizations to communicate results. Collaborating with teams to solve business challenges and optimize operations is essential, along with staying current on advancements in data science and machine learning.
The Investment Operations Analyst oversees daily Middle and Back Office operations and collaborates with various stakeholders to ensure efficiency. They utilize tools like Charles River and Bloomberg, manage SMA accounts, and streamline clearing processes using DTCC systems. The role requires analytical skills, project management, and the ability to effectively communicate with clients and senior professionals.
The Research Associate will manage and process compound samples, fulfill requests, generate assay plates using liquid handlers, maintain lab space, and support lab operations.
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