Top Data & Analytics Jobs

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Design and build dashboards, presentations, and visualizations that translate complex data into actionable insights. Collaborate with cross-functional stakeholders across the Americas to support Networks programs, present results to senior leadership, and apply an AI/automation-first approach to improve reporting and decision-making.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Solutions Data Engineer will manage data integrations end-to-end, utilizing FloQast's Data Platform and Data Studio to connect source systems and transform data for reliable outputs across applications.

Own and evolve the enterprise semantic layer for Machine Infrastructure Supply Chain. Build analytics-ready models and dashboards, operate data pipelines, partner with data engineering, finance, product, and operations, and deliver metrics and insights to optimize inventory, reconciliation, and supply chain decisions.

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal measurement, test-and-learn designs, elasticity and incrementality analyses, and deliver executive-ready recommendations to optimize revenue, margin, and share.

Support Sports Game Science & Insights by analyzing game and business data to produce actionable insights, reports, and visualizations. Translate stakeholder needs into data projects, build scalable self-service tools, benchmark titles, and identify measurement approaches to drive growth and lifetime value.

Lead and build Coupa's post-sale customer intelligence function: integrate structured and unstructured data, create diagnostic and predictive analytics for churn/expansion/adoption, define AI value measurement, and grow a team to deliver executive-level insights.

Design, harden, and scale Snowflake and AWS data platforms, build dimensional data models and resilient Airflow pipelines, optimize complex SQL, develop dbt semantic layers, deploy ML models in AWS, integrate AI/LLMs into workflows, and build data APIs (FastAPI/Flask) to enable enterprise analytics and operational ROI.