Top Data & Analytics Jobs in Buffalo, NY
The Supply Chain Analyst gathers and analyzes data to improve supply chain operations, identifies areas for improvement, and supports strategic projects across the supply chain. They must have a bachelor's degree in a relevant field and at least 2 years of experience in supply chain disciplines.
The HR Analyst audits and analyzes HR-related compensation and benefit areas, prepares reports and forecasts, reviews financial records for accuracy, supports Total Rewards projects, and develops metrics for decision-making. This role requires strong analytical skills and the ability to communicate insights effectively.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
The Quality Assurance Analyst will test and analyze software applications to ensure quality standards are met. Responsibilities include designing test plans, collaborating with development teams, assisting with troubleshooting, and improving user experience and application functionality.
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Join Twilio as a Senior Data Analyst in the Enterprise Strategy and Operations team. Partner with cross-functional teams to drive growth initiatives and operational excellence through data-driven projects. Develop data products, automate workflows, and mentor junior analysts. Contribute to Twilio's operational strategy by providing data insights and self-service reporting.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
As a GIS Analyst at Forerunner, you'll provide geospatial map integration and analysis, manage data for mapping processes, and collaborate with engineering and customer success teams. Attention to detail and strong communication skills are essential as you balance multiple projects involving government and flood mapping processes.
Lead data conversion projects ensuring data integrity, accuracy, and accessibility. Collaborate with team and customers for requirements gathering, data mapping, and cleansing. Provide technical support and guidance to customers during data conversion process. Partner with Data Science team to improve processes and accuracy. Deliver timely response to customers and team related to data migration tasks.
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
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