Top Hybrid Analytics Jobs in San Diego, CA
Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards, ensuring data quality and consistency across financial applications.
As a Strategic Analyst at Acrisure, you will be responsible for delivering best-in-class analytics for key corporate initiatives and providing data-driven insights and recommendations. You will work with a cross-functional team to drive growth across financial services verticals by leveraging data and analytics. This role involves breaking down problems, using exploratory data analysis techniques, and effectively communicating findings to stakeholders to optimize performance and scale rapidly.
A Senior Manager role within Data and Analytics services focusing on aligning client data strategies to business goals, choosing platforms, defining data needs, and migrating to cloud data environments. Responsibilities include problem-solving, leading teams, building trusting relationships with clients, and contributing to business development efforts.
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Data Science Manager at ZS Discovery responsible for shaping and growing AI capabilities in pharmaceutical discovery. Leading client relationships, selling AI solutions, and managing a global AI delivery team. Requires a PhD in AI or pharmaceutical research with 6+ years of relevant experience.
The Enterprise Data Engineer will provide technical leadership in architecting and delivering end-to-end solutions. They will work with business partners, collaborate with other teams, and develop architecture and design patterns for processing and storing high volume data sets. The ideal candidate should have at least four years of relevant experience, knowledge of data warehouse architectures, and experience with cloud environments, SQL, and real-time streaming data pipelines.
The Senior Data Analyst at Jam City will be responsible for providing both reactive and original insight at a project and studio level. They will apply industry knowledge to analyze data, create reports, lead complex analytics projects, and work cross-functionally with other teams.
Senior Analytics Engineer responsible for data discovery, data modeling, data engineering, and data governance using Databricks, dbt, and Python. Develops data pipelines, implements data quality checks, and optimizes data pipelines for performance. Creates data visualizations and communicates insights to stakeholders. Requires 5+ years of Data Engineering experience and expertise in Python, Databricks, SQL, and AWS.
Top hybrid Companies in San Diego, CA Hiring Data + Analytics Roles
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