Top Data & Analytics Jobs in Rochester, NY

The Lead Business Intelligence Engineer implements best practices for data analysis, develops technical solutions, ensures compliance, and leads team mentoring within the healthcare industry.

The Senior Business Intelligence Engineer analyzes data from various sources to resolve business problems, impacting decision-making with reports and visualizations, especially in healthcare.

The intern will gain experience in data visualization, quality checks, and reporting, collaborating with cross-functional teams to improve analytics and data governance.

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

As a Fraud Intelligence Analyst, you will monitor fraud activities, analyze data to uncover trends, and collaborate with teams to strengthen fraud mitigation strategies.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Web Scraping Specialist will extract data from websites, optimize scraping processes, and manage data integrity, ensuring high-quality outputs.

Analyze large-scale data to detect fraud, derive insights, develop monitoring solutions, and collaborate on fraud prevention strategies cross-functionally.

The role involves reviewing and correcting emergency call transcripts in Spanish and proofreading English translations, requiring attention to detail and quality focus.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

The Business Analyst will gather and document requirements, facilitate communication between stakeholders, and support the development of a clinical decision support platform while ensuring user satisfaction through testing and validation.

Manage web analytics strategy and implementation at Twilio, ensuring data integrity and delivering actionable insights through collaboration with cross-functional teams.