Top Analysis Reporting Jobs in San Diego, CA

As a Strategy Insights and Planning Associate Consultant, you'll identify problems, spearhead project workstreams, conduct market research, and develop client relationships in healthcare consulting.

The Senior Staff Demand Planning role involves designing and deploying AI/ML-driven capacity forecasting models, collaborating with cross-functional teams, and enhancing forecasting accuracy for infrastructure capacity planning.

As a Senior Associate, assist clients with cloud data strategies, implement cloud data architectures, and collaborate with teams to drive business results using data analytics.

The role involves supporting the internal consulting team to analyze business challenges, develop tools, manage projects, and enhance processes while engaging with stakeholders.

The Accounting Projects Analyst will support process improvements, reporting enhancements, and system initiatives for the Accounting team, including project leadership, user acceptance testing, and training.

The Business Analyst II role involves analyzing data, supporting customer acquisition, developing BI tools, and collaborating with stakeholders to improve business performance.

The role involves leading CRM initiatives, facilitating workshops, defining requirements, and ensuring successful delivery of solutions across global sales operations.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The Business Systems Analyst IV leads data governance and quality initiatives, ensuring compliance with data regulations, collaborating with stakeholders, and optimizing data management processes. Responsibilities include gathering business requirements, training users, and implementing data quality metrics.

The Director of Business Intelligence will lead the BI function, manage reporting architecture, ensure data quality, and promote advanced analytics to enhance operational efficiency and client value.

The Machine Learning Engineer develops AI solutions for cancer care using expertise in ML algorithms and genomic data, collaborating across teams.

Oversee clinical data management for global trials, ensuring quality and compliance. Lead teams, manage timelines, and mentor junior staff.

Lead pharmacometric modeling efforts for clinical development, oversee analyses, mentor colleagues, and contribute to regulatory submissions and publications.