Top Data & Analytics Jobs

Lead end-to-end BI engagements: design and stand up cloud data architectures, manage ETL-to-visualization pipelines, act as product owner, produce production-level code and architectures, mentor junior staff, maintain client relationships, contribute to proposals and firm initiatives, and travel up to 20% as needed.

Lead the modeling, forecasting, and analytics for go-to-market strategy. Collaborate with Sales and Finance on strategic revenue forecasts and actionable insights.

Manage sports platform operations, develop risk management frameworks, and oversee trading activities to optimize profits in sports gaming.

The Quantitative Analyst will develop and enhance trading strategies, analyze performance, and collaborate with technology teams on trading systems.

Lead development and improvement of quality systems in manufacturing and lab operations; oversee data integrity, validation, and quality relationships with suppliers.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

Develop and maintain Power BI reports and dashboards, integrate data, and support front-end application development while ensuring accurate data processing.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Design, build, and maintain scalable data processing pipelines and infrastructure (ETL/ELT). Implement large-scale data processing (Spark, MapReduce, Kafka), support stakeholders with analysis and reporting, ensure secure multi-region data handling, and optimize data delivery for analytics and business insights.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.