AI & Data Technical Business Analyst (AWS)
⚲ Warszawa, Gdańsk, Gdynia, Łódź
21 000 - 22 680 PLN netto (B2B)
Wymagania
- AWS
- AWS Sagemaker
- ML algorithms
- SQL
- Python
Opis stanowiska
Industry: BankingLocation: Hybrid - 3 days per week from office in Gdańsk, Gdynia, Łódź or Warsaw
Rate: 135 pln/h netto on b2b
Introduction & Summary
We are seeking a skilled IT Analyst for Analytics Enablement to act as a liaison between business needs and IT developers. The ideal candidate will possess a strong solution-oriented mindset, an analytical thinking capacity, and familiarity with advanced data and analytics solutions. Proficiency in SQL and Python, combined with effective communication skills, will be essential for translating business requirements into functional standards.
Main Responsibilities
• Act as a bridge between business needs and developers to ensure the delivery of high-quality IT solutions.
• Design advanced solutions around data and analytics.
• Work closely with stakeholders to understand expected outcomes and elicit business features.
• Manage delivery dependencies towards other teams and organizational units.
• Collaborate within an Agile environment as part of a cross-functional delivery team.
• Engage in complex end-to-end solutions and processes.
• Quickly grasp new technologies at a high level and ask the right questions.
• Communicate fluently with business users.
Key Requirements
• Implementation of AWS SageMaker in collaboration with data scientists.
• Strong communication skills.
• Analytical thinking and problem-solving capabilities.
• Familiarity with basic concepts in machine learning, CI/CD pipeline, and big data.
• Knowledge of SQL and Python.
• Knowledge of ML algorithms.
Nice to Have
• Experience with model monitoring and ML Ops capabilities.
• Integration of AWS SageMaker model output with cloud/hybrid/on-prem solutions.
• Knowledge of Spark/Scala.
Rate: 135 pln/h netto on b2b
Introduction & Summary
We are seeking a skilled IT Analyst for Analytics Enablement to act as a liaison between business needs and IT developers. The ideal candidate will possess a strong solution-oriented mindset, an analytical thinking capacity, and familiarity with advanced data and analytics solutions. Proficiency in SQL and Python, combined with effective communication skills, will be essential for translating business requirements into functional standards.
Main Responsibilities
• Act as a bridge between business needs and developers to ensure the delivery of high-quality IT solutions.
• Design advanced solutions around data and analytics.
• Work closely with stakeholders to understand expected outcomes and elicit business features.
• Manage delivery dependencies towards other teams and organizational units.
• Collaborate within an Agile environment as part of a cross-functional delivery team.
• Engage in complex end-to-end solutions and processes.
• Quickly grasp new technologies at a high level and ask the right questions.
• Communicate fluently with business users.
Key Requirements
• Implementation of AWS SageMaker in collaboration with data scientists.
• Strong communication skills.
• Analytical thinking and problem-solving capabilities.
• Familiarity with basic concepts in machine learning, CI/CD pipeline, and big data.
• Knowledge of SQL and Python.
• Knowledge of ML algorithms.
Nice to Have
• Experience with model monitoring and ML Ops capabilities.
• Integration of AWS SageMaker model output with cloud/hybrid/on-prem solutions.
• Knowledge of Spark/Scala.
🔍 Dekoder Ogłoszenia
🔴
Act as a bridge between business needs and developers to ensure the delivery of high-quality IT solutions.
Może oznaczać, że będziesz musiał tłumaczyć bardzo niejasne lub sprzeczne wymagania biznesowe na język zrozumiały dla technicznych zespołów, często bez możliwości wpływu na ich jakość.
🔴
Design advanced solutions around data and analytics.
Może oznaczać projektowanie rozwiązań, które są już zdefiniowane przez innych, a Twoja rola polega na ich dopasowaniu, a nie na tworzeniu od podstaw innowacyjnych koncepcji.
🔴
Quickly grasp new technologies at a high level and ask the right questions.
Oczekuje się, że będziesz szybko rozumiał nowe technologie, ale Twoja rola może ograniczać się do zadawania pytań, a nie do faktycznego wdrażania czy głębokiego poznawania.
🔴
Collaborate within an Agile environment as part of a cross-functional delivery team.
W praktyce może oznaczać częste zmiany priorytetów, nieustanne dostosowywanie się do nowych wymagań i potencjalnie brak jasnego podziału obowiązków.
🔴
Implementation of AWS SageMaker in collaboration with data scientists.
Może oznaczać, że będziesz wspierał data scientistów w ich pracy, a nie samodzielnie wdrażał i konfigurował SageMaker od strony technicznej.