Top Data & Analytics Jobs
The Principal Research Scientist will lead the GMC membrane R&D team, developing innovative porous metal membranes for gas filtration in the semiconductor industry. Key responsibilities include project leadership, utilizing powder metallurgy and additive manufacturing techniques, and creating comprehensive technical reports and documentation based on experimental results.
The Senior Data Engineer will lead the design and development of high-performance data architectures for batch and streaming processing, manage ETL/ELT processes, optimize database systems, drive continuous improvement in data workflows, and collaborate with teams to support data-driven decision-making.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
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As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.
The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.
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The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.
The R&D Scientist will assist in developing new silicone materials, lead multiple projects, conduct experiments, analyze data, and support the scale-up from R&D to production. The role involves collaboration with various departments and requires expertise in silicone materials and formulation processes.
The Data Tech Lead is responsible for designing, developing, and delivering data solutions using AWS core services. Key responsibilities include managing data platforms, implementing data management strategies, ensuring system performance and quality, and collaborating with cross-functional teams to translate business needs into technical solutions.
The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.
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