Top Data & Analytics Jobs in Buffalo, NY

The Accounts Payable Analyst processes and codes invoices and expense reports, manages vendor relationships, and monitors compliance and accounting operations. They are responsible for improving processes within the accounts payable function and gaining insights into the company's financial impact as it scales.

The Executive Compensation Analyst supports LTI administration, maintains reporting and compliance, and addresses data-driven inquiries related to the long-term incentive program. The role involves data analysis, preparing SEC-required documentation, vendor management, and collaboration with HR and global payroll partners.

The Data Scientist role focuses on applying data science expertise to manage manufacturing data and build automated solutions, primarily using Python and SQL. The candidate will define data initiatives to optimize business processes, work independently on projects, and collaborate with cross-functional teams to drive insights and communicate findings to leadership.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

The Associate Paid Search Analyst will collaborate with category managers and stakeholders to define goals and strategies for advertising campaigns. Responsibilities include conducting keyword research, managing campaigns, implementing optimizations, analyzing performance, and communicating results to teams. The role requires expertise in PPC and best practices to enhance campaign effectiveness and achieve client goals.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.