Top Analytics Jobs in Phoenix, AZ

The Process Characterization and Technology Scientist will support the Downstream Investigations Team focusing on raw materials. Responsibilities include troubleshooting processes, leading lab studies on manufacturing processes, analyzing data, and preparing technical documents. The role involves working in a biotech lab environment to enhance process knowledge and support medicine production.

The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.

As a Senior Data Analyst, you will process and integrate massive datasets, optimize data processes, and collaborate with business users to understand their analysis needs. You will develop reports, participate in implementing new IT platforms, and ensure data quality while working closely with trading and IT departments.

As a CX Operations Data Analyst III, you will utilize data to answer business questions, partner with various departments for optimization, conduct analyses to enhance customer journeys, and collaborate with Data Engineering to integrate data channels. Your role will focus on driving data-driven decisions and improving the customer experience.

The role involves providing multi-faceted intelligence analysis and support focused on potential counterintelligence and human intelligence threats, along with general intelligence analysis related to terrorism and regional issues. Responsibilities include developing intelligence requirements, performing operational analysis, and supporting HUMINT and CI operations.