Top Senior Data & Analytics Jobs in Buffalo, NY

The Data Analytics Lead Analyst contributes to strategic direction, manages data quality, implements governance models, leads teams, and supports project delivery in a collaborative environment.

The Data & BI Manager leads a high-performance team to enhance analytics models, ensures data integrity, promotes data quality, and drives strategy aligning with business goals.

The Senior Manager of Card Analytics analyzes card acquisition and spending behavior to optimize Marriott's global cobrand card programs, translating complex data into actionable insights and recommendations while leading analytical support for marketing and product design.

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The Senior Product Analyst role involves data analysis, A/B testing, generating insights, and collaborating cross-functionally to enhance product strategies.

The Senior Technical Analyst will manage data workflows, ensure high-quality civic data acquisition, and enhance processes through technical leadership and collaboration with teams.

Lead and manage the strategy, development, and operation of BECU's Enterprise Data Platform, ensuring secure and scalable data capabilities while fostering team collaboration and data governance.

As a Senior Data Scientist in Marketing Analytics, you'll partner with Marketing to solve problems, design data-driven solutions, lead experimentation, communicate insights, and operationalize solutions for business impact.

The role involves developing and managing complex data sets, creating dashboards, and analyzing data for operational efficiency in healthcare. Collaboration with clinical and IT teams is essential to optimize patient outcomes and processes.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.