Marketing AI Analyst

Bloomreach is building the world’s premier  agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the  entire  customer journey. We're taking  autonomous search  mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making  conversational shopping  a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of  autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine —  Loomi AI  — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a Marketing AI Analyst who is AI-native by instinct — someone who reaches for AI tools first, not last. This isn’t a role for someone who dabbles with AI on the side; it’s a role for someone who is interested in fundamentally rethinking how marketing intelligence gets built. You’ll design and deploy AI-powered workflows that transform how the Marketing team understands pipeline, campaign performance, and revenue impact. You’ll prototype agentic analytics systems, prompt-engineer your way to faster insights, and use LLMs to do in hours what manual analysis would take days to complete. The ideal candidate has already replaced spreadsheet habits with AI workflows, treats Claude, N8N, and Clay as core infrastructure, and is constantly pushing the frontier of what’s possible with AI-assisted decision-making. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.  Your job will be to: Apply LLMs to accelerate insight generation: Use Claude and other LLM-based tools to analyze marketing performance data, generate hypotheses, summarize complex patterns, and produce strategic recommendations at speed. Build prompt libraries and reusable AI templates that allow the team to get consistent, high-quality insights without starting from scratch each time. Design and automate AI-driven reporting pipelines : Build automated workflows using N8N and similar orchestration platforms that connect data sources, apply AI-based interpretation, and deliver insights directly to marketing teams and leadership without manual intervention. The goal is zero-touch reporting that’s smarter than any dashboard. Own attribution and funnel intelligence with AI: Apply AI-powered attribution models to map the full customer journey from first touch to closed deal. Use predictive modeling and machine learning approaches to understand which marketing investments drive the best pipeline quality, shortest sales cycles, and highest win rates and translate that into clear budget recommendations. Develop predictive models and AI forecasts : Use historical data and machine learning approaches to forecast pipeline generation, predict campaign performance before launch, and model the impact of budget changes. Leverage AI tools to continuously refine forecast accuracy as new data comes in. Identify trends and anomalies using AI : Monitor performance signals across all channels and use AI-powered pattern recognition to flag underperforming areas, surface emerging opportunities, and deliver early warning signs before problems become obvious to the naked eye. Enable the GTM team with AI literacy: Create frameworks, playbooks, and training that help non-technical teammates leverage AI tools in their own workflows. Be the bridge between raw data, AI capability, and business decision-making across marketing and sales. Build AI-powered marketing intelligence systems : Design and deploy agentic workflows that autonomously surface insights across channels, campaigns, and pipeline stages. Use LLMs and AI orchestration tools to replace manual analysis loops so the Marketing team gets answers proactively, not on request. Think of yourself as an AI systems architect for marketing intelligence, not just an analyst who uses AI tools. Build AI-assisted experimentation frameworks: Design A/B testing and multi-variate experiments where AI helps both in hypothesis generation and in results interpretation. Use statistical analysis augmented by LLMs to identify what’s working faster, and build a culture of AI-informed experimentation across the GTM team. Your success story will be: Within the first 30-60 days: You’ve audited the current analytics stack and identified where AI can repla