Top Data & Analytics Jobs in Buffalo, NY

Design and implement Informatica ETL solutions (PowerCenter) and Data Quality processes; develop mappings and workflows; deploy on Unix, Teradata, SQL Server, and Oracle; perform performance tuning and optimization; collaborate with business users and team members.

Lead and support enterprise data governance strategy, data risk and controls frameworks, policy adoption, metrics, issue tracking, and regulatory/audit response. Partner with business and global functions to measure and improve governance adoption and performance.

Build and own the reporting and insight layer: write optimized Redshift queries, build dashboards, monitor model feedback signals, triage and prioritize investigations for data science, maintain ETL pipelines ingesting semi-structured data, and enable Customer Success with clear metrics and onboarding checks. Move into model validation and automation to scale analytic workflows.

Support U.S. Marshals Service by gathering, reconciling, and organizing information from multiple sources, performing accurate data entry and word processing, maintaining case files, tracking case status, preparing reports and summaries, coordinating information requests, and providing timely status updates.

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

Inductive Bio seeks to build relationships with talented individuals for upcoming roles in drug discovery, including Toxicologists, Machine Learning Scientists, and Product Management. Candidates should be passionate about accelerating drug discovery and possess strong collaboration skills.

Provide analytic support for the Non-Commercial/On-Site Foodservice division: create KPIs and scorecards, analyze volume and performance data, prepare sales/customer presentations, manage reports and claims, and support sales and marketing activities to identify opportunities and inform strategy.

Support U.S. Marshals Service mission by gathering, reconciling, and entering information from multiple sources; maintain files, track case status, prepare reports and documents, perform word processing, coordinate information requests, and provide timely status updates.

Lead development of BI solutions, dashboards, and automated financial reports to ensure data integrity and drive actionable insights. Partner with IT and finance teams to improve data collection, optimize analytics processes, and support business strategy and performance monitoring across a large, matrixed organization.

Lead graph data engineering to design, implement, and scale Neo4j-based graph platforms. Build graph models, ingestion pipelines (batch and streaming), integrate graphs with analytics/ML, establish governance, and enable graph-driven business use cases like fraud detection and Customer 360.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

Lead procurement-focused data analysis to inform strategy and optimization. Produce reports and dashboards, validate data, collaborate with stakeholders, mentor junior analysts, and manage multiple projects using Oracle, Ariba, Excel, and Tableau.