Top Analysis Reporting Jobs in Buffalo, NY

The Credit Risk Analyst will extract and analyze data using SAS tools, work on credit optimization with FICO, and communicate effectively in teams.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Restructure and maintain Airtable relational architecture for fertility industry data, implement automations and integrations (Zapier, Softr), enforce data governance and permissions, build dashboards and reports, execute data acquisition and enrichment to scale the database, conduct audits, document SOPs, and support onboarding and system monitoring.

Conduct public records research (county recorder/assessor/GIS) to identify home sales and parcel owners for new-home communities, update the company database, and report findings via a web portal to a Regional Research Manager. Part-time, remote role with flexible schedule.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

Lead design and implementation of scalable Databricks data platforms and end-to-end data pipelines using Spark and Delta Lake. Drive migrations from legacy systems, enforce governance/security, optimize performance and costs, and collaborate with stakeholders and data science teams to enable analytics and AI/ML use cases.

Own end-to-end client data migrations: reverse-engineer legacy ETL, design and build Airflow DAGs and Spark jobs, validate and reconcile data at scale, document architecture and decisions, and coordinate cross-functional teams through go-live and hypercare.

The intern will analyze logistics data, develop dashboards, identify optimization opportunities, and support operational efficiency initiatives.

As a Senior Staff Decision Scientist, you will optimize payment decisioning strategies, analyze risk data, and collaborate to improve platform performance and user experience.