Top Senior Data & Analytics Jobs in Buffalo, NY

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

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

The Assistant Manager will lead data governance and analytics initiatives, overseeing the data warehouse infrastructure, analytics processes, and ensuring compliance and quality in data management.

Oversee the development and maintenance of credit risk models, ensure compliance, validate performance, and manage a team of analysts.

Responsible for providing strategic direction and management for model risk operations, ensuring compliance and operational efficiencies while performing complex data analysis and project management initiatives.

Design and maintain large-scale data infrastructure and processing systems, ensuring data quality, integration, and compliance while collaborating with cross-functional teams.

The Data Analytics Lead Analyst supports strategic direction in data quality, implements governance procedures, and leads large data programs. This role requires strong collaboration, communication, and analytical skills, focusing on delivering strategic outcomes in a team environment.

Design, build, and maintain scalable, tested data models and transformation pipelines (dbt, Snowflake). Partner with Data Science, Product, and Engineering to codify business logic, enable downstream BI (Hex), enforce Git-based workflows, automated tests, and CI/CD, and drive data quality and observability for clinical and financial analytics.

The Risk Analyst IV advises and leads initiatives on enterprise risk management, develops relationships, monitors compliance, and collaborates with stakeholders to enhance governance and reporting.

Lead scalable data engineering efforts to provide reliable data for decision-making, build efficient ETL and data lake processes, and support cross-functional teams with data solutions.