Senior Data & AI Analyst

• SQL
• Cloud
• Databricks
• Data modeling
• ETL
• AI
• You have 5+ years of experience in a highly analytical role, such as Business Analytics, Data Analytics, or Analytics Engineering. You are an expert at bridging the gap between deep technical details and high-level business objectives.
• You are an SQL master, with proven experience querying and working with very large, complex datasets on a modern cloud data platform (experience with Databricks is a strong advantage).
• You have a comprehensive understanding of data warehousing best practices, including hands-on experience with dimensional data modeling (star schema) and ETL/ELT processes.
• You have practical, hands-on experience with LLM-based AI tools (e.g., Claude or similar) and understand the principles of building and evaluating conversational AI (e.g., quality metrics, Q&A pairs, ground truth).
• You are an exceptional communicator, able to translate complex business needs into crystal-clear technical requirements and tailor your presentations to both technical and non-technical audiences.
• You have a solid understanding of data governance and are familiar with data cataloging tools (e.g., Atlan or similar).
• You are comfortable with ambiguity and have a proven ability to independently drive complex, multi-step projects (like roadmaps and PoCs) from start to finish.
• You are fluent in both Polish and English.
• You will be responsible for the entire analytical lifecycle of the solution, from defining business requirements and testing logic to ensuring a successful release and driving adoption across the organization.
• You will build and refine the mechanisms that measure the quality of the AI's responses. This includes defining key metrics, curating high-quality Q&A datasets for fine-tuning, and tracking performance over time to ensure the system is not just smart, but also trustworthy.
• You will work hand-in-hand with Data Engineers to design and implement robust data models (star schema), propose data quality checks, and support the deployment process. You will also be a key partner for business stakeholders, translating their needs into technical requirements and presenting the power of AI at internal "AI Office Hours."
• You will lead and validate Proof-of-Concept (PoC) projects for new AI use cases, constantly evaluating and comparing alternative solutions to ensure the platform stays on the cutting edge.
• You will diagnose and escape technical issues related to the AI stack, including LLMs (like Claude), BI connectors, and other integrated tools.
• Start ASAP
• Life Insurance
• Cafeteria system

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