Top Data & Analytics Jobs

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.

The role involves implementing data governance standards, conducting audits, improving data processes, and collaborating with cross-functional teams to ensure compliance and data integrity in the biopharma industry.

Lead Client Solutions, Analytics by developing measurement plans, managing outputs, and collaborating on campaign execution across channels while mentoring the Business Intelligence team.

As a Quantitative Researcher, you will develop sports pricing capabilities by designing data pipelines, calibrating pricing models, and deploying models into trading strategies.

The Quantitative Analyst will develop stock selection models, enhance research platforms, analyze data, present findings, and collaborate with research teams to improve investment strategies.

Build and own the core data models and pipelines connecting product usage, accounts, revenue, billing, and customer health. Create trusted metrics, dashboards, and self-serve reporting. Partner with Product, Engineering, and GTM teams to improve data quality, design AI-enabled workflows and agents, and support leadership with accurate visibility into adoption, pipeline, retention, expansion, and revenue.

The Business Analytics Lead will deliver business priorities through insights and advanced analytics, manage analytics teams, and integrate advanced analytics into applications.

The Office Print Business Analyst supports Ricoh's strategy through data analysis, KPI measurement, and strategic insights that enhance business performance and decision-making.

Responsible for managing digital transformation initiatives, supporting data systems in laboratories, ensuring compliance, and collaborating across teams for equipment management.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.