Top Artificial Intelligence Data & Analytics Jobs

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

The Analytics Engineer at KUBRA HQ transforms data into insights, builds automated reports and dashboards, and collaborates across teams for data-driven decision-making.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

The Lead Data Specialist owns analytics and reporting for marketing services, delivering insights, developing dashboards, and ensuring data accuracy while collaborating with stakeholders.

As a Part Time Student in Data & Analytics, you'll utilize creative and technical skills to enhance digital product adoption, support evaluation of digital tools, and develop data science products for supply chain analytics.

The role focuses on optimizing cloud spending for Datadog by leveraging data science to build predictive models, automate insights, and provide financial forecasts, requiring collaboration with engineering and finance leadership and the development of real-time dashboards.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

As an Analytics Engineer, you'll support data analytics, troubleshoot, optimize data pipelines, investigate data quality, and lead data projects to enhance quality insights in manufacturing.

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.