Top Remote Data & Analytics Jobs in Rochester, NY

The role involves generating real-world evidence through advanced analytics, developing analytical plans, conducting statistical analysis, and communicating insights to influence decisions in healthcare settings.

The Business Intelligence Engineer 2 develops customized reports and dashboards in Power BI, analyzes sales data, and collaborates with sales leaders to derive actionable insights from data.

The Data Management Coordinator ensures data accuracy and organization, supports reporting, and maintains data systems while collaborating across various departments.

The role involves leading a systems analysis team for Oracle Cloud ERP in finance operations, ensuring process scalability and compliance, while mentoring team members and driving continuous improvement.

As a Competitive Intelligence Analyst, you will gather and analyze competitive insights to support strategic decisions across product, marketing, and sales. This includes monitoring industry trends and creating comprehensive intelligence resources, such as competitor profiles and battle cards, while collaborating with cross-functional teams to enhance competitive positioning.

The Director is responsible for overseeing enterprise data governance, ensuring compliance and quality of data, and leading cross-functional initiatives related to data management and stewardship.

The Senior Learning Product Strategist will enhance Chegg Skills' products by implementing learning science principles, driving engagement, and translating research into actionable insights for product development.

Analyze contracts and forecast revenues using data analytics. Present reports to management, track reimbursement and negotiate with payers. Maintain databases and ensure data integrity.

The Senior Parcel Analyst will optimize supply chains using data analysis, manage analytical projects, develop dashboards, and provide insights on cost and service performance.

As a CD Excellence Data Engineering Associate, you'll design and manage scalable data pipelines on Azure, optimize workflows, integrate data sources, and collaborate with teams to drive AI adoption and business insights.