Top Senior Data & Analytics Jobs in Buffalo, NY

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

Lead end-to-end digital analytics across websites, products, and campaigns: implement and govern event and conversion tracking, ensure data integrity, build dashboards, connect campaign and CRM data to full-funnel outcomes, generate actionable insights, and support AI-enabled reporting and experimentation to improve conversion and user experience.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

As Measurement Lead, you will manage high-stakes customer discussions about campaign results, write SQL for data analysis, build dashboards, and collaborate with various teams to enhance Kard's measurement approach.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.

Lead alignment of technology and business strategies to improve payments reporting, forecasting, and operational planning. Build and maintain reports, dashboards, and models using BI tools and SQL, perform variance analysis, drive data standardization and quality, support migration to modern reporting platforms, and produce ad hoc analyses to inform decision-making.