Data Analyst
⚲ Kraków, Warszawa, Wrocław, Poznań, Gdańsk
140 - 160 PLN/h netto (B2B)
Wymagania
- R
- Machine Learning
- Google Cloud Platform
Opis stanowiska
Project info:
We are seeking a skilled Data Analyst based in Poland to join our client's team. This role is a critical part of a highly collaborative, cross-functional team consisting of AI Architects and AI Engineers across the US and India. Instead of building core AI models from scratch, this position focuses heavily on the data enablement side—identifying, analyzing, and preparing data structures so they can be seamlessly ingested by cloud-based AI tools and agentic workflows.
Responsibilities:
•
Data Identification & Analysis: Analyze complex data landscapes to identify, map, and catalog relevant data elements for the visibility program.
• AI Tool Enablement: Focus on data preparation and data structuring required to feed and optimize AI tools and machine learning models.
• Cross-Cloud Data Assessment: Work with data across environments (such as Azure or on-premise) to understand its architecture, and help facilitate its alignment and enablement for Google Cloud Platform (GCP) migration.
• Cross-Functional Collaboration: Partner closely with cloud architects (reporting progress structurally to project leadership) and US/India-based AI engineers to define data requirements for client visibility platforms.
Job requirements:
• 8-11 years of professional experience
•
Core Technical Skill Set: Strong hands-on proficiency in R programming and foundational Machine Learning (ML) data practices.
• Data Manipulation: Proven experience in data profiling, data cleansing, and data preparation specifically tailored for analytical or AI workflows.
• Sourcing Context: This role requires a specialized background in statistical data environments, distinguishing it from traditional backend engineering or infrastructure DevOps roles.
Preferred Qualifications
•
Cloud Infrastructure Awareness: Familiarity with cloud platforms—specifically Google Cloud Platform (GCP) and tools like Vertex AI—is highly advantageous.
• Agentic Workflows: Basic understanding or exposure to how data feeds into AI agents, conversational models, or data visibility systems.
Must possess a legal work permit in Poland!
Benefits:
General benefits - depends on the form of employment
• Hybrid or Remote work
• Attractively located office with collaboration spaces
• Onsite parking space for employees
• Referral program with financial bonus
• Life Insurance
• Budget for development (including language courses and others), clear career path with the possibility to gain experience in international environment
• Access to internal Learning Platform with multiple trainings oriented for professional growth
Lifestyle benefits: • Access to MyBenefit platform (Multisport included)
• Team Building activities
• Charity initiatives
• Working environment promoting diversity and inclusion
Health benefits:
• Private medical care - Platinum Package
We are seeking a skilled Data Analyst based in Poland to join our client's team. This role is a critical part of a highly collaborative, cross-functional team consisting of AI Architects and AI Engineers across the US and India. Instead of building core AI models from scratch, this position focuses heavily on the data enablement side—identifying, analyzing, and preparing data structures so they can be seamlessly ingested by cloud-based AI tools and agentic workflows.
Responsibilities:
•
Data Identification & Analysis: Analyze complex data landscapes to identify, map, and catalog relevant data elements for the visibility program.
• AI Tool Enablement: Focus on data preparation and data structuring required to feed and optimize AI tools and machine learning models.
• Cross-Cloud Data Assessment: Work with data across environments (such as Azure or on-premise) to understand its architecture, and help facilitate its alignment and enablement for Google Cloud Platform (GCP) migration.
• Cross-Functional Collaboration: Partner closely with cloud architects (reporting progress structurally to project leadership) and US/India-based AI engineers to define data requirements for client visibility platforms.
Job requirements:
• 8-11 years of professional experience
•
Core Technical Skill Set: Strong hands-on proficiency in R programming and foundational Machine Learning (ML) data practices.
• Data Manipulation: Proven experience in data profiling, data cleansing, and data preparation specifically tailored for analytical or AI workflows.
• Sourcing Context: This role requires a specialized background in statistical data environments, distinguishing it from traditional backend engineering or infrastructure DevOps roles.
Preferred Qualifications
•
Cloud Infrastructure Awareness: Familiarity with cloud platforms—specifically Google Cloud Platform (GCP) and tools like Vertex AI—is highly advantageous.
• Agentic Workflows: Basic understanding or exposure to how data feeds into AI agents, conversational models, or data visibility systems.
Must possess a legal work permit in Poland!
Benefits:
General benefits - depends on the form of employment
• Hybrid or Remote work
• Attractively located office with collaboration spaces
• Onsite parking space for employees
• Referral program with financial bonus
• Life Insurance
• Budget for development (including language courses and others), clear career path with the possibility to gain experience in international environment
• Access to internal Learning Platform with multiple trainings oriented for professional growth
Lifestyle benefits: • Access to MyBenefit platform (Multisport included)
• Team Building activities
• Charity initiatives
• Working environment promoting diversity and inclusion
Health benefits:
• Private medical care - Platinum Package
🔍 Dekoder Ogłoszenia
🟡
This position focuses heavily on the data enablement side—identifying, analyzing, and preparing data structures so they can be seamlessly ingested by cloud-based AI tools and agentic workflows.
Rola bardziej skupia się na przygotowaniu danych dla narzędzi AI, niż na samym tworzeniu modeli AI.
🟡
Cross-Cloud Data Assessment: Work with data across environments (such as Azure or on-premise) to understand its architecture, and help facilitate its alignment and enablement for Google Cloud Platform (GCP) migration.
Może oznaczać pracę z różnymi technologiami chmurowymi, ale główny nacisk będzie na migrację do GCP, co może wymagać specyficznych umiejętności w tym obszarze.
🔴
AI Tool Enablement: Focus on data preparation and data structuring required to feed and optimize AI tools and machine learning models.
Podkreśla przygotowanie danych, a nie zaawansowane modelowanie ML, co może być rozczarowaniem dla osób szukających roli stricte ML Engineer.
🔴
8-11 years of professional experience
Bardzo szeroki zakres doświadczenia, co może sugerować, że firma jest otwarta na kandydatów z różnym stażem, ale może też oznaczać, że szukają kogoś z konkretnym, rzadkim zestawem umiejętności, który zazwyczaj zdobywa się po wielu latach.
🟡
Core Technical Skill Set: Strong hands-on proficiency in R programming and foundational Machine Learning (ML) data practices.
R jest mniej popularnym językiem w analizie danych i ML niż Python, co może oznaczać węższy rynek kandydatów lub specyficzne wymagania projektu.