Top Analysis Reporting Jobs in San Diego, CA

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The PTPA Tax Technology Manager leads tax technology initiatives, mentoring team members, enhancing data transparency, and overseeing product lifecycle management to improve stakeholder experiences.

Lead development of data strategies to support business growth, advising on large projects and driving operational excellence while fostering high-performing teams.

The Portfolio Chief Engineer will lead design and implementation of Data and Analytics Systems, working with customers and engineering teams to generate innovative solutions, engage in business development, and ensure technical excellence in large-scale information management.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

The Rebate Analyst II prepares client reports, builds SQL queries for data analysis, enhances customer relations, and ensures quality control in reports and processes.

The Junior Business Analytics Developer will analyze data, develop solutions, and support government clients in optimizing financial and data management processes.

As an MDM Architect, you'll lead the design and delivery of Master Data Management solutions, manage teams, and engage with clients to translate business needs into data strategies. Your role includes hands-on configuration with leading MDM platforms and overseeing data integration across systems.

Lead and optimize SEO strategies for various clients, manage junior team members, and enhance organic search performance in a fast-paced agency.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

The role involves leading analytics for product and marketing, defining measurement strategies, running experiments, and developing predictive models to optimize growth and performance.