Senior Data Analyst (Big Data & Data Modelling)
⚲ Gdańsk, Gdynia, Warszawa
15 120 - 20 160 PLN netto (B2B)
Wymagania
- SQL
- Big Data
- Apache Hadoop
- Hive
- Impala
- PySpark
- HQL
- ETL
- Python
- Java
Opis stanowiska
Senior Data Analyst (Big Data & Data Modelling)
About the role:
You will join an environment focused on big data analysis, data modelling, and requirements management.
You will act as a bridge between business and technical teams, supporting the design of robust data solutions.
Your role includes analyzing complex data sets and collaborating with development teams to deliver high-quality data products.Responsibilities:
• Conduct IT and research data analysis as well as data modelling.
• Analyze functional and non-functional requirements.
• Translate business needs into clear, actionable requirements.
• Collaborate with developers, architects, and IT analysts.
• Analyze data models and ensure data compliance with business requirements.
• Work with large Big Data platforms and extensive data sets.
• Support the design and improvement of data solutions.
• Participate in requirement refinement and stakeholder discussions.
• Ensure transparency and synchronization between business and IT teams.
• Promote continuous improvement of analytical and data-related processes.
Requirements:
• Experience as a Senior Data Analyst.
• Advanced knowledge of SQL and relational databases.
• Practical experience with Big Data platforms and large datasets.
• Familiarity with technologies such as Hadoop, Hive, Impala, PySpark, HQL.
• Skills in data modelling and data analysis.
• Experience with ETL processes and data requirements analysis.
• Knowledge of standard data models (e.g., Canonical Data Model).
• Ability to gather, refine, and document business and technical requirements.
• Experience collaborating with development teams, architects, and analysts.
• Familiarity with Agile methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication skills and fluency in English.
Nice to have:
• Knowledge of Python, Java, or R.
• Experience with data formats such as JSON and AVRO.
• Knowledge of DB2 or Oracle databases.
• Familiarity with Jira and Bitbucket.
• Experience in the banking or financial services sector.
What we offer:
• Work with large data platforms and modern analytical tools.
• An international, collaborative work environment.
• Close cooperation with business and technology teams.
• Long-term project in a complex corporate setting.
• Development opportunities in data analysis, modelling, and Big Data technologies.
About the role:
You will join an environment focused on big data analysis, data modelling, and requirements management.
You will act as a bridge between business and technical teams, supporting the design of robust data solutions.
Your role includes analyzing complex data sets and collaborating with development teams to deliver high-quality data products.Responsibilities:
• Conduct IT and research data analysis as well as data modelling.
• Analyze functional and non-functional requirements.
• Translate business needs into clear, actionable requirements.
• Collaborate with developers, architects, and IT analysts.
• Analyze data models and ensure data compliance with business requirements.
• Work with large Big Data platforms and extensive data sets.
• Support the design and improvement of data solutions.
• Participate in requirement refinement and stakeholder discussions.
• Ensure transparency and synchronization between business and IT teams.
• Promote continuous improvement of analytical and data-related processes.
Requirements:
• Experience as a Senior Data Analyst.
• Advanced knowledge of SQL and relational databases.
• Practical experience with Big Data platforms and large datasets.
• Familiarity with technologies such as Hadoop, Hive, Impala, PySpark, HQL.
• Skills in data modelling and data analysis.
• Experience with ETL processes and data requirements analysis.
• Knowledge of standard data models (e.g., Canonical Data Model).
• Ability to gather, refine, and document business and technical requirements.
• Experience collaborating with development teams, architects, and analysts.
• Familiarity with Agile methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication skills and fluency in English.
Nice to have:
• Knowledge of Python, Java, or R.
• Experience with data formats such as JSON and AVRO.
• Knowledge of DB2 or Oracle databases.
• Familiarity with Jira and Bitbucket.
• Experience in the banking or financial services sector.
What we offer:
• Work with large data platforms and modern analytical tools.
• An international, collaborative work environment.
• Close cooperation with business and technology teams.
• Long-term project in a complex corporate setting.
• Development opportunities in data analysis, modelling, and Big Data technologies.
🔍 Dekoder Ogłoszenia
🔴
You will act as a bridge between business and technical teams, supporting the design of robust data solutions.
Będziesz musiał tłumaczyć skomplikowane wymagania techniczne na język zrozumiały dla biznesu i odwrotnie, co często oznacza rozwiązywanie konfliktów i niejasności.
🔴
Your role includes analyzing complex data sets and collaborating with development teams to deliver high-quality data products.
Może to oznaczać pracę z bardzo nieuporządkowanymi lub niekompletnymi danymi, gdzie "wysoka jakość" jest celem, a nie gwarancją.
🔴
Analyze functional and non-functional requirements.
Oprócz tego, co system ma robić, będziesz musiał analizować wymagania dotyczące wydajności, bezpieczeństwa i skalowalności, co może być trudne do precyzyjnego określenia.
🔴
Work with large Big Data platforms and extensive data sets.
Może to oznaczać pracę z przestarzałymi lub słabo udokumentowanymi platformami Big Data, które wymagają dużo wysiłku w utrzymaniu i optymalizacji.
🔴
Promote continuous improvement of analytical and data-related processes.
Oczekuje się, że będziesz inicjował i wdrażał zmiany, co może oznaczać walkę z oporem lub brak zasobów na realizację pomysłów.