Top Analysis Reporting Jobs in Buffalo, NY

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The Applied Research Engineer II will lead applied research initiatives, develop algorithms, and collaborate across teams to translate scientific insights into impactful products in human wellness.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

The Sr. Operations Analytics Manager will enhance billing and account efficiency, analyze complex data, and provide actionable insights to improve financial performance and customer service.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

The GRC Content & Strategy Sr. Associate will design and maintain GRC content, develop documentation, provide platforms expertise, and conduct research on GRC trends.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

As a Product Analyst, you will analyze customer behavior and product performance, create dashboards, and support decision-making through data insights and metrics definitions, while collaborating across teams.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.