Top Senior Data & Analytics Jobs in Buffalo, NY

The Sr. Business Operations Analyst will analyze healthcare claims data, support implementations, gather requirements, and identify operational efficiencies while ensuring compliance with regulations.

Lead end-to-end data integration with health system partners, manage a team of data engineers, and design data pipelines to support AI-driven workflows.

The Senior Staff Engineer - SAP Analytics Consultant oversees SAP analytics projects, focusing on SAP Analytics Cloud solutions, data integration, and collaborating with business stakeholders to gather requirements and support analytics functionalities.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

Lead the design and development of BI solutions for healthcare coding and clinical data products while implementing analytics best practices and collaborating with global teams.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

As a Supervisor in Analytics, you will lead media analytics projects to generate insights and support client decisions, managing analytics teams and client communications effectively.

Provide statistical leadership for oncology Phase I-III trials: develop SAPs/protocols/CSRs, design efficacy and safety analyses, oversee SDTM/ADaM datasets and TLFs, support interim/DMC and adaptive analyses, contribute to regulatory submissions, and mentor junior statisticians.

Design and build Spark ETL pipelines on an AWS data platform, collaborate with stakeholders to deliver reliable large-scale data products, optimize and maintain data infrastructure, ensure data quality/governance, and manage platform operations and incident response.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.