Top Data & Analytics Jobs in Los Angeles, CA

The Senior Data Scientist will leverage organizational data to derive insights that enhance user experiences and improve business efficiency. Responsibilities include testing and maintaining predictive and prescriptive models, collaborating with teams to explore advanced analytics opportunities, and deploying models into production environments.

As a Senior Data Analyst for Cash App Compliance, you will develop data strategies focused on identifying financial crime risks, creating SQL and Python queries, designing dashboards, and providing insights related to fraud and compliance. You'll collaborate with teams to enhance the compliance program and maintain knowledge of Cash App products and compliance necessities.

Develop and deploy AI models using advanced data science techniques for various applications. Collaborate with stakeholders to drive business growth and communicate findings effectively. Evaluate and implement state-of-the-art AI projects.

The Quality Assurance Analyst at Carrot Fertility will develop and implement a Critical to Quality program to enhance customer and member experiences. Responsibilities include conducting quality audits, generating QA reports, analyzing trends for continuous improvement, and collaborating with cross-functional teams to ensure adherence to quality standards and policies.

The Business Intelligence Analyst at Los Angeles Tourism will develop and maintain BI tools and manage data to provide actionable insights. Responsibilities include data analysis, management of the Domo platform, training staff on data usage, and collaboration with data partners.

As a Senior Analyst at OpenX, you will lead the development of revenue reporting tools, perform complex data analyses, monitor marketplace health, and collaborate with various teams to translate data insights into actionable strategies. The role requires strong analytical skills and the ability to communicate effectively across departments.

As a Compensation Analyst, you will analyze compensation data, maintain databases, support compensation modeling, and partner with recruiters for competitive compensation offers. You'll implement compensation policies and develop communication materials.