Top Remote Senior Level Business Intelligence Jobs in Seattle, WA
Partners with Consumer and Ecommerce Business Groups to ensure delivery of applications aligned to the business and IT strategy, as well as the support of applications in B2B and B2C areas. Responsible for authoring data integrations and API related Consumer business requirements for CrowdStrike. Collaborates with business users to develop use cases and provides inputs into business processes based on design capabilities.
Seeking a Cloud Security Competitive Intelligence Analyst with 5+ years of experience in the cloud security market. Responsibilities include providing field guidance, analyzing market trends, developing competitive strategies, and working closely with product and sales teams.
Senior Business Insights Analyst responsible for delivering strategic insights to the company by monitoring real-time business health and providing recommendations for growth. Role involves data analysis, strategy, research, and data visualization.
The Business Analyst, Quote-to-Cash role at Cloudflare involves driving the implementation of new quote-to-cash system functionality and enhancements to improve sales team productivity. Responsibilities include facilitating discovery sessions, writing user stories, running system demos, and advising on to-be state based on stakeholder needs.
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As a Senior Business Intelligence Engineer at Cash App, you will create and optimize data models, standardize metrics, build data pipelines, and design dashboards to support impactful business decisions. You will work collaboratively with cross-functional teams to analyze large datasets and drive product development.
As a Risk Strategist on the Fraud team at Stripe, you will be responsible for reducing losses from merchant risk by monitoring accounts, scaling risk processes, and working with internal partners to tailor fraud risk management techniques. You will challenge the status quo in the payments industry and help innovative businesses thrive online.
The Sr. Analyst, FP&A role involves conducting financial forecasting, variance analysis, and maintaining financial models to support business decisions. This position requires strong analytical skills, advanced Excel knowledge, and the ability to communicate effectively with management.
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