Top Data & Analytics Jobs in Buffalo, NY

As a Senior Business Intelligence Engineer, you'll collaborate with various teams to enhance decision-making through data insights, manage data pipelines, and ensure data quality while delivering impactful dashboards.

Identify and mitigate payments fraud, analyze risk using data, implement monitoring controls, and communicate findings to leadership. Collaborate with various internal teams to develop risk management strategies.

Analyze customer sentiment data to identify pain points, create presentations combining quantitative and qualitative insights, and work with cross-functional teams to improve customer experience.

The Business Data Analyst will design and maintain analytical tools and metrics, translate business needs into data-driven insights, and enable strategic decision making through effective data visualization and storytelling.

The Senior Analyst, AML Know Your Customer will manage the KYC periodic review process, ensure compliance, analyze customer data, and collaborate with internal teams while monitoring industry trends.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

The Senior Business Analyst will support clinical program execution by analyzing data, creating dashboards, documentation, and assisting with program management.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The Pricing Associate will support pricing strategies, conduct financial impact analysis, improve pricing models, and maintain pricing efficiencies in a fast-growing healthcare technology company.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.