Top Senior Analysis Reporting Jobs in San Diego, CA

The Senior Revenue Analytics Analyst transforms data into actionable insights for go-to-market strategy, focusing on analytics, predictive modeling, and cross-functional partnerships to enhance revenue performance.

The Sr. Director will lead advanced analytics, data strategy, and governance frameworks to enhance commercial decision-making and drive business outcomes through data-driven insights.

The Senior Revenue Operations Analyst develops operational analytics and revenue intelligence, translating data into insights to guide decision-making and support business strategy across teams.

The Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

The Sr Analyst will analyze KPIs, leverage data analytics and AI tools, provide training, and improve user experience to enhance digital product performance.

Seeking a Senior ETL/Informatica Developer with 5+ years of experience in production support and BI applications development, specifically Financials and HR Analytics. Knowledge of Data Warehousing and data modeling is essential. Cognos experience is a plus.

Seeking a Systems Analyst with 7+ years of experience in Oracle EBS Finance modules, specifically in AP, AR, GL, and Cost Management. Strong skills in procurement, communication, and teamwork are required.

The Director of Data Engineering leads the development of data platforms to support analytics in cancer care, overseeing architecture and engineering while mentoring a team.

The Staff Data Scientist analyzes customer funnel performance and designs frameworks to improve conversion rates and operational efficiency. Responsibilities include partnership with various teams, supporting experimental initiatives, and translating insights into actionable strategies.