Top Data & Analytics Jobs

The Biostatistician will collaborate with clinical teams, develop statistical analysis plans, oversee CRO activities, and ensure data quality and statistical accuracy for publications.

The Marketing Research Analyst analyzes marketing data trends, updates forecasts, assists in budgeting, and generates reports to recommend adjustments for marketing strategies.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead market access deal analytics by developing data-driven solutions for payer strategy and reimbursement optimization, conducting claims data analyses, and integrating analytics into pricing strategies. Required to manage healthcare datasets and develop predictive models.

The Reporting Analyst will monitor the SFS supply chain performance, manage order exceptions, create operational reports, and communicate improvements across teams.

Support supply chain and logistics by developing and automating reports and dashboards, analyzing large datasets to identify trends and process improvements, ensuring data accuracy, monitoring KPIs (on-time delivery, inventory turns, transportation costs), assisting root-cause analyses, and collaborating with operations, procurement, finance, and IT to deliver actionable insights.

This role involves utilizing advanced statistical modeling techniques to identify profitable trading opportunities across global markets, collaborating in a team-oriented environment.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

The Senior Data Analyst will lead data analytics projects, train team members, and research new technologies to enhance data-driven insights for clients.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.