Top Data & Analytics Jobs

The Data Scientist will develop the data analytic and research functions, build data operations systems, maintain ETL processes, and collaborate with technology and product teams to support organizational priorities. This role focuses on enhancing college admissions access and equity through data-driven insights and products.

The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.

As a GIS Analyst, you will develop and manage web applications and tools within an ESRI environment, create high-quality geographic and demographic materials, and present data analyses to internal and external stakeholders. You will oversee GIS projects, ensure content maintenance, and automate processes.

Lead Data Integration Analysts are responsible for interfacing with internal and external systems to facilitate data integration. This includes ETL generation, coding in SQL Server environments, documentation generation, and technical leadership across phases of the data and report lifecycle. The role focuses on collaborating with stakeholders, mentoring peers, and ensuring quality delivery of data and reports.

As a Database Engineer, you will design, implement, and maintain database solutions for business operations and analytics. Collaborate with IT professionals, create and modify database objects, develop data pipelines, and optimize database performance while ensuring data confidentiality and maintaining documentation.

The Senior Systems Analyst will support and evolve Ben & Jerry's global IT landscape with a focus on consumer-facing web solutions. Responsibilities include collaborating with brand managers and developers, overseeing external agencies, ensuring compliance with Unilever IT, and optimizing web content for user experience and SEO. This role demands monitoring emerging technologies and producing documentation for technical processes.

The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.