[Hiring] Senior AI Solutions Analyst @Poland and Middle-Eastern Europe

Role Description

• Owning the development and maintenance of the AI layer supporting business analytics, including Talk2Data and agent-ready data.
• Defining, implementing and testing the analytical components of the Talk2Data solution – from specification and business validation through to release.
• Building and continuously improving the evaluation framework for AI response quality, including defining metrics, collecting representative Q&A pairs, establishing ground truth and monitoring quality scores over time.
• Translating business needs, use cases and business rules into clear requirements, acceptance criteria and analytical specifications.
• Collaborating with Data Engineers to define dimensional data models using a star schema approach, propose data quality checks, review merge requests and support deployments.
• Working with large datasets and cloud-based data platforms to validate data quality, structure and suitability for AI-powered analytics.
• Collaborating with Product Leads, Business Owners and other stakeholders to confirm data ownership and ensure alignment with data governance standards.
• Preparing presentations, guidelines and supporting materials explaining the established approach to both technical and non-technical audiences.
• Facilitating enablement initiatives such as AI Office Hours for data teams and business users, as well as dedicated sessions with Product Leads.
• Continuously improving the quality and performance of solution by analysing user feedback, product analytics and evaluation results.
• Driving the adoption of AI-assisted analytics solutions across the organization.
• Leading and validating Proofs of Concept related to AI solution implementation and new business use cases.
• Diagnosing and escalating technical issues related to AI tooling and integrations, including Claude, Power BI MCP and connectors.
• Evaluating and comparing alternative AI solutions, tools and implementation approaches.
• Ensuring that AI-generated outputs and analytical solutions are critically validated before being introduced into business processes.

Qualifications

• At least 5 years of experience in an analytical role.
• A strong background in business analytics, data engineering or a related discipline, with the ability to bridge technical details and business objectives.
• Advanced proficiency in SQL and experience working with large datasets in cloud data platforms.
• A comprehensive understanding of data warehousing concepts, including dimensional data modelling and ETL/ELT processes.
• Hands-on experience with LLM-based AI tools, such as Claude or similar solutions.
• Practical understanding of how AI assistants are built and evaluated, including quality metrics, representative Q&A datasets, ground truth and ongoing performance monitoring.
• Experience translating business needs into clear, well-documented requirements, analytical specifications and acceptance criteria.
• The ability to tailor communication, presentations and documentation to both technical and non-technical audiences.
• Basic familiarity with Git, code review and version control processes, sufficient to read and review changes and coordinate the merging of work prepared by Data Engineers.
• Knowledge of data governance and data cataloguing practices, including tools such as Atlan or similar platforms.
• Strong stakeholder management and collaboration skills, with the ability to work effectively with Data Engineers, Product Leads, Business Owners and other cross-functional stakeholders.
• An analytical and critical mindset, with the ability to assess the quality, reliability and business relevance of AI-generated outputs.
• Experience with Databricks would be an asset.

Requirements

• Work from the European Union region and a work permit are required.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision