Top Analysis Reporting Jobs

The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.

The Bioinformatics Research Analyst will support research in animal developmental reprogramming, focusing on genomics and computational approaches. The role involves analyzing gene expression and investigating molecular mechanisms that regulate transcription during different conditions.

As a Revenue Cycle Analyst, you will analyze large datasets to identify trends and improve the revenue cycle process. You will work on denied claims, track revenue cycle performance metrics, and provide data-driven insights to enhance efficiency and reimbursement. You will also conduct ad hoc data analyses to support decision-making and process changes.

The Compensation Analyst II conducts research and analysis to ensure competitive compensation programs. They work with HR and operational partners to refine policies, administer compensation surveys, ensure compliance with pay laws, and support year-end compensation processes.

The role involves conducting research in AI and autonomous systems, focusing on developing robust models and techniques using driving data. The candidate will collaborate with research scientists and engineers, contributing to high-quality publications and real-world applications of autonomy technology.

The Supply Chain Analyst will optimize inventory levels and enhance operational efficiency through demand planning and forecasting. Responsibilities include managing system updates, analyzing sales data, collaborating with sales teams, and recommending process improvements for enhanced forecasting.

As an HR Operations Lead Analyst, you will manage master data and oversee data migration across systems like Workday, ADP, and SAP. Your role includes data governance, troubleshooting data issues, and collaborating with cross-functional teams to enhance data quality. Training users on best practices and managing data compliance are also key responsibilities.