Top Senior Data & Analytics Jobs in Buffalo, NY

The Senior Statistical Programmer will program and validate datasets for clinical trials, oversee deliverables, manage projects, and ensure compliance with industry standards. Requires strong skills in SAS and R for statistical programming.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

The Senior Director will manage data partnerships and relationships to enhance Experian's Financial Services business, ensuring compliance and optimizing data ROI.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

As Associate Director of Data Strategy, you'll develop data strategies for clients, drive data insights and implement technology for media effectiveness, contributing to overall growth and strategy.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

As a Client Insights Lead, you will develop analytics strategies, connect cross-channel data, deliver actionable insights, and enhance client marketing decisions.

As a Client Insights Lead, you'll develop analytics strategies, connect data across channels, provide actionable recommendations, and enhance client marketing decisions with insights.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

Lead legacy-to-SaaS data migrations: design and execute ETL, extract/transform/load data, validate integrity, map business workflows to target models, engage clients, document processes, support governance, and train stakeholders to ensure accurate, secure conversions.