Top Data & Analytics Jobs

As a Messaging Pricing Lead at Braze, you'll manage vendor contracts and pricing for messaging solutions, analyze data, optimize pricing strategies, and collaborate with various stakeholders to drive growth and profitability.

The Director of Data Operations will build and lead the data operations function, drive operational excellence, and integrate AI with human expertise for data extraction and reporting in a dynamic environment.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

The Category Data Analyst supports sourcing activities through data analysis, market intelligence, and reporting, enabling informed decision-making and supplier management.

The Senior Distressed Debt Reporter will break news on corporate restructurings, collaborate with journalists and analysts, and identify market trends in distressed debt.

The Lead Quantitative Scientist will design and lead quantitative models for lending and financial forecasting, enhancing the collectibles market's data-driven infrastructure, while collaborating cross-functionally and building a team over time.

The Senior Data Analyst will perform hands-on analytical work using SQL, design A/B tests, develop dashboards, and partner cross-functionally to drive data-informed decision-making across various teams.

The Senior Director will design and govern the enterprise-wide data architecture, lead the analytics team, and ensure data reliability for scalable decision-making across various functions.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.