Aily Labs

At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution. We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making.

Decision Intelligence Analyst

Location

Spain

Posted

66 days ago

Salary

0

Seniority

Mid Level

Job Description

Decision Intelligence Analyst

Aily Labs

Role Description As a Decision Intelligence Analyst, you will be at the heart of how Aily's platform comes to life for our clients. You will own the day-to-day execution of client integrations — preparing and managing data, running and optimizing AI models, and ensuring that every tenant delivers the highest possible quality and business impact. This is a hands-on, execution-focused role for someone who is analytical, detail-oriented, and genuinely excited about making AI work in the real world. You will work closely with an AI Delivery Lead and collaborate across client-facing and technical teams to turn business needs into working, high-impact AI solutions. - Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness - Adapt and configure data models to fit specific client contexts, business processes, and decision workflows - Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants - Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance - Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues - Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted - Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact - Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements Qualifications - Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field - Proficiency in Python and SQL; solid understanding of data structures and modeling concepts - Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality - Comfortable taking responsibility for the quality and performance of the solutions you manage - Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures - Clear communicator who works effectively across technical and non-technical stakeholders - Able to context-switch across different industries, business functions, and client environments - Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful Requirements - Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar - Experience with cloud platforms (AWS, GCP, or Azure) - Previous internship or work experience in a data, analytics, or AI-related role - Exposure to enterprise software implementations or client-facing technical roles Benefits - Competitive salary and equity package - Flexible, remote-first culture with the option to work from our offices in Lisbon and Munich - A culture that values ownership, curiosity, and direct feedback Company Description At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution. We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making.

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