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emagine Polska

AI & Data Technical Business Analyst (AWS)

emagine Polska Show all offers
135 PLN / hour
Gdynia
Warszawa
Łódź
Gdańsk
1 month ago

In short

IT Analyst for Analytics Enablement in Banking. Hybrid role in Gdańsk, Gdynia, Łódź, or Warsaw. Responsibilities include bridging business needs and IT, designing data/analytics solutions, and collaborating in an Agile environment. Requires SQL, Python, and AWS SageMaker knowledge. Rate: 135 PLN/h netto on B2B.

AI-written summary based on the listing content.

Industry: Banking

Location: Hybrid - 3 days per week from office in Gdańsk, Gdynia, Łódź or WarsawRate: 135 pln/h netto on b2bIntroduction & SummaryWe 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.

Published 2026-07-28
Expires 2026-10-26
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