"big data analytics" Jobs
280 open tech roles matching “big data analytics”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 280 results
Join Preql as a Forward Deployed Engineer to enhance finance solutions for enterprise accounts with a focus on data integration and modeling.
Shape engineering talent programs at Datadog, focusing on leadership, career paths, and AI's impact on roles.
Join Twitch's Monetization team as a Data Scientist to apply causal inference methods and optimize revenue for creators.
Join hx as a Business Value Consultant to help clients understand the value of AI in pricing and underwriting decisions.
Lead the product strategy for Stripe's data products, shaping how businesses access and analyze their Stripe data.
Join a small, high-agency team at MotherDuck to enhance DuckDB's performance and user experience in a cloud environment.
Drive revenue and engage customers as a Strategic Account Executive at Dataiku, focusing on AI solutions for large enterprises.
Join Anthropic as a Business Systems Analyst to bridge business needs and technical solutions in a rapidly growing AI company.
Join Dataiku as a Strategic Account Executive to drive AI success for enterprises in the North East.
Join Anthropic as a Staff Software Engineer to shape privacy engineering in AI systems at scale.
Lead and scale delivery pods as the Director of Professional Services at a fast-moving AI marketing startup.
Lead the system design of a data platform for a cybersecurity ratings company with a focus on data quality and architecture.
Join Anthropic as a Strategy & Operations Business Partner for Applied AI, driving growth through strategic insights and metrics.
Join CoreWeave as a Senior Engineer I to design and optimize large-scale data systems for AI/ML in a fully remote environment.
Drive strategic talent initiatives for Datadog’s Engineering organization in a hybrid work environment.
Be the analytical engine behind Cape's consumer business decisions, combining market research and business intelligence.