Top Data & Analytics Jobs

The Systems Analyst conducts impact analysis, coordinates testing phases, oversees system development activities, and supports audit compliance in healthcare claims processing.

The Associate Director of Biostatistics leads statistical analysis for clinical trials, collaborates across teams, authors analysis plans, and contributes to regulatory interactions.

The Manager of Data and Analytics will lead a team to implement analytics solutions that drive data-driven decisions and insights, collaborating with business leaders and IT to enhance data quality and governance.

Lead data migration projects involving analysis, mapping, transformation, and validation of data from legacy systems to Bridgeway's platform, collaborating with teams and mentoring juniors.

As a Data Analyst in Marketing Insights, you'll transform raw data into compelling narratives, identify trends, ensure data quality, and support marketing strategies.

The Senior Analyst in Assortment Planning will support Category Managers through analytics, process creation, and inventory optimization to maximize sales while managing inventory effectively.

The Senior Biostatistician II will oversee clinical trials, manage statistical deliverables, lead client interactions, and mentor junior staff.

The Senior Statistical Programmer will analyze clinical trial data, develop and validate SAS programs, ensure compliance, and support biostatistics teams.

This internship involves data analysis and extraction to support sales planning and performance visibility, requiring SQL proficiency and analytical skills.

The Senior Revenue Operations Analyst will analyze sales performance, build forecasting models, support commercial strategies, and partner closely with leadership to drive growth and improve decision-making through data insights.

The Senior Revenue Operations Analyst will analyze sales performance, develop forecasting models, and support strategic decision-making to drive revenue growth.

As a Data Quality Engineer, you will manage data quality, ensure accurate data entry, organize documents, and support data workflows while collaborating with teams to improve practices.