Top Data & Analytics Jobs

Lead and manage data engineering teams to design, build, and maintain high-quality data pipelines. Oversee automation, performance scripting, data modeling, database optimization, and quality-control processes. Collaborate with product, engineering, and operations to deliver data-driven features and support SEC-related data needs and AI/LLM integrations.

As a Quantitative Researcher, you'll develop trading signals and models, implement research components, and evaluate them using statistical methods in a collaborative environment.

The Business Analyst will assess operations, analyze data, strategize improvements, and collaborate with clients while supporting a consulting team.

As a Senior Data Scientist, you'll establish analytical methods for user engagement in music, collaborate on product strategies, and optimize content and social interactions.

Data and Analytics Consultants help clients deliver strategic initiatives through data-driven decisions, requiring technical expertise and problem-solving skills.

Lead marketing measurement, analytics, and research to inform acquisition, engagement, retention, and ROI. Build attribution models, dashboards, and automated reports; analyze member and campaign performance; run market research and competitive intelligence; partner cross-functionally to ensure data quality and translate findings into executive-ready recommendations and strategic planning support.

The role involves managing client relationships, leveraging analytics for marketing decisions, leading client services, and guiding project management.

As a Junior Business Scientist, you will support analytics projects in data science and marketing effectiveness, focusing on data preparation, statistical modeling, dashboard development, and client interactions.

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.