Top Analytics Jobs in San Diego, CA

The Manager of Management & Performance Analytics will oversee reports and tools to improve key business elements, enhance advisor performance metrics, support client service performance, and ensure effective use of Power BI for reporting.

The Supervisor of Analytics Reporting will monitor and report on model performance, coach the team, develop complex programming, and automate reports for data analysis.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

Lead the analysis of game data, creating A/B tests and recommendations for user acquisition, while presenting insights to clients. Manage data integrity with engineers using SQL and BI tools.

Lead the Data and Analytics team, overseeing analysis, BI strategies, and platform solutions to drive business growth through actionable insights.

As a Data & Analytics Analyst, you'll develop data infrastructure, perform complex analyses, provide insights, and ensure data quality across systems.

The role involves leading analytics initiatives to support community support, driving data-informed decisions, building insights platforms, and using statistical models for product improvement.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

This role involves collaborative analytics work, developing metrics, and dashboards to optimize content distribution and merchandising processes for Netflix.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.

As Director of Data & Analytics, you'll build a modern data stack, manage dashboards and reporting, ensure governance, and lead a data team.

As an Analytics Lead, you will conduct research, collaborate on client strategies, mentor team members, develop insights, and create measurement products to guide decision-making.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

The Director of Data Analytics leads analytics strategy and operations, overseeing business intelligence projects and managing a team. Responsibilities include driving forecasts, statistical modeling, and cross-functional collaboration to enhance reporting and customer engagement.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.