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Senior Data & AI Analyst

Link GroupPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano16 września 2026
Wykryte przez nas
Wykryte przez nas17 września 2026
Zarobki
Zarobki21 000 - 26 000 PLN

Link Group is seeking a Senior Data & AI Analyst to join our team in a fully remote capacity. You will play a pivotal role in the analytical lifecycle of our AI solutions, bridging the gap between complex technical requirements and strategic business objectives to drive organizational adoption.

Key responsibilities

  • Manage the end-to-end analytical lifecycle, from defining business requirements and testing logic to ensuring successful releases.
  • Develop and refine mechanisms to measure AI response quality, including defining key metrics and curating high-quality datasets for fine-tuning.
  • Collaborate with Data Engineers to design robust star schema data models and implement effective data quality checks.
  • Lead and validate Proof-of-Concept projects for new AI use cases while evaluating alternative solutions to maintain a cutting-edge platform.
  • Act as a primary partner for business stakeholders, translating their needs into technical requirements and facilitating internal AI knowledge sharing.

Requirements

  • Over 5 years of experience in analytical roles such as Business Analytics, Data Analytics, or Analytics Engineering.
  • Expert-level SQL skills with proven experience querying large, complex datasets on modern cloud platforms.
  • Strong understanding of data warehousing best practices, dimensional modeling, and ETL/ELT processes.
  • Practical experience with LLM-based AI tools and the principles of evaluating conversational AI performance.
  • Exceptional communication skills with the ability to present complex technical concepts to diverse audiences.

What we offer

  • Opportunity to work on innovative AI projects within a professional and collaborative environment.
  • Full remote work model allowing for flexibility and focus on high-impact analytical tasks.
  • Engagement in complex, multi-step projects that drive the technological roadmap of the organization.

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