Senior Data Analyst: Big Data & Data Modelling Expert

B2Bnetwork; Warszawa, Gdynia; On-site; PLN 120,000 - 180,000; Full time

Job summary

B2Bnetwork, based in Warsaw, Poland, is seeking a Senior Data Analyst focusing on big data analysis and data modelling. You will bridge business and tech teams to design robust data solutions, analyze complex datasets and collaborate with development teams to deliver high-quality data products.

Responsibilities include data analysis, modelling, requirements translation, collaboration with IT and analytics, data quality, and working with large Big Data platforms.

Qualifications

• Senior Data Analyst with proven experience.
• Strong SQL and relational DB skills.
• Experience with Big Data platforms and large datasets.
• Familiar with Hadoop, Hive, Impala, PySpark.
• Knowledge of data modelling and ETL.
• Fluency in English.

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.

Skills

SQL

Big Data

Data modelling

ETL

Agile

English communication

Tools

Hadoop

Hive

Impala

PySpark

HQL

JSON

AVRO

DB2

Oracle

Job description

B2Bnetwork, based in Warsaw, Poland, is seeking a Senior Data Analyst focusing on big data analysis and data modelling. You will bridge business and tech teams to design robust data solutions, analyze complex datasets and collaborate with development teams to deliver high-quality data products.

Responsibilities include data analysis, modelling, requirements translation, collaboration with IT and analytics, data quality, and working with large Big Data platforms.