Senior Data & AI Analyst

What You Will Do (Your Impact):

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 escalate technical issues related to the AI stack, including LLMs (like Claude), BI connectors, and other integrated tools.

Who We're Looking For (Your Profile):

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.