Top Analytics Jobs in Dayton, OH

The role requires designing and implementing data solutions using the Azure Data Engineering Stack while leveraging skills in Python, Pyspark, and SQL. The position also involves working with modern data warehousing and agile methodologies, focusing on collaboration both independently and within a team.

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 Systems Analyst will provide operational support and maintenance for the Touchworks EHR application, assist users, manage incidents, participate in system upgrades, create documentation, and perform necessary system administration activities. The role includes collaborating with third-party vendors and participating in after-hours support as needed.

The OnBase Systems Analyst provides technical support and solutions for the OnBase ECM system, participating in its deployment across the organization. Responsibilities include troubleshooting, system testing, managing application security, and creating training materials for users. The analyst collaborates with various teams to ensure smooth implementation and operation of the OnBase solution.

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.