Top Analysis Reporting Jobs in San Diego, CA

Lead implementation of active portfolio management for US Wholesale & Specialty. Bridge analytics, underwriting, actuarial, and claims to deliver actionable insights, prioritize analytics projects, monitor performance, enable underwriting adoption, and drive pricing and portfolio improvements to optimize risk selection and reduce loss ratios.

The role provides operational leadership for clinical database programming, ensuring quality and compliance across clinical programs, overseeing databases, mentoring team members, and leading technology implementation.

Provide advanced BI analysis, dashboards, and reporting by aggregating data from multiple sources to identify trends, root causes, and KPI-driven insights. Lead projects, mentor staff, deliver actionable recommendations to stakeholders, and manage a portfolio of reporting solutions.

The Staff Data Scientist designs and optimizes credit strategies, integrates manual underwriting with analytics, and collaborates with various teams to drive sustainable growth while managing credit risk.

Support Category Management and Sales with space management and assortment projects, data cleansing and analysis, planogram creation and validation, scorecard/reporting maintenance, presentation development, and cross-functional coordination to drive category insights and retail execution.

The Risk Analyst ensures accurate reporting and management of commodity exposures and P&L, while identifying risks and enhancing business transparency through data analysis and reporting.

The Director of Data Quality and MDM Operations ensures trusted data across the enterprise through effective data quality and master data strategies, leading a team and collaborating with stakeholders to implement and improve data processes.

As a Data Scientist for Growth, you'll support marketing and growth teams by analyzing data to inform strategies, conduct experiments, and measure performance, driving better decision making across the organization.

Responsible for designing, building, and maintaining real-time data ingestion pipelines, ensuring reliable data flow and quality for operational decisions.

Lead design and operation of scalable marketing data pipelines, ensuring secure ingestion, immutable raw data, transformations, canonical models, monitoring, and data quality. Manage and scale distributed engineering teams, establish runbooks and standards, and partner with analytics, governance, and MarTech to drive automation and AI adoption.