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Technical Product Analyst

Link GroupPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano7 października 2026
Wykryte przez nas
Wykryte przez nas9 października 2026
Zarobki
Zarobki20 160 - 25 200 PLN

Link Group is seeking a highly skilled Technical Product Analyst to join our team in a fully remote capacity. You will play a pivotal role in bridging the gap between complex scientific requirements and scalable technical solutions, ensuring high-quality data integration and governance across our systems.

Key responsibilities

  • Define converter scopes, acceptance criteria, and release readiness requirements in alignment with internal SDLC and data governance standards.
  • Lead discovery sessions with scientists and subject matter experts to capture data fields and oversee semantic mapping to Allotrope Ontologies.
  • Guide quality engineering squads through source-to-target data validation, defect triage, and audit readiness processes.
  • Facilitate cross-functional communication between business, product, and engineering teams to manage dependencies and resolve delivery risks.
  • Drive process standardization by creating reusable validation assets and embedding risk-based decision-making into the converter lifecycle.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Biotechnology, or a related field.
  • Over 6 years of experience in data engineering, integration, or management with a focus on data modeling, transformation, and quality assurance.
  • Deep understanding of the Software Development Life Cycle (SDLC), data governance principles, and data lifecycle management.
  • Proven track record of leading technical teams, managing project risks, and translating complex business needs into technical solutions.
  • Exceptional analytical, problem-solving, and stakeholder management skills.

What we offer

  • Opportunity to work in a fully remote environment with a global team.
  • Engagement in high-impact projects at the intersection of data science and biotechnology.
  • Professional development through collaboration with cross-functional experts and leadership opportunities.

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