As a Data Analyst, you will be working for our client, a global leader in financial services, where you’ll play a key role in developing a cutting-edge data analytics ecosystem. You’ll collaborate with a global team to transform massive datasets into actionable business insights. This role will involve engaging with stakeholders, assisting data engineers, and overseeing the deployment of data-driven models that enhance customer experience and business efficiency.
Join us, and drive innovation through cutting-edge analytics!
Krakow-based opportunity with the possibility to work 60% remotely!
responsibilities :
Collaborating with stakeholders to understand business processes and requirements
Documenting and formalizing business and data requirements using industry-standard tools
Identifying data specifications that accurately reflect business needs
Supporting and maintaining existing ETL pipelines using Python and GCP development
Defining and obtaining source data necessary for delivering insights
Mapping data from multiple sources to create comprehensive datasets
Highlighting and reporting data inconsistencies for user review
Validating, analyzing, and modeling data to create clear use stories for data engineers
Assisting with data migration processes and providing suitable migration sets to stakeholders
Supporting data-related tasks including governance, quality, and metadata management
requirements-expected :
Minimum 5 years of experience in data analytics or business intelligence
Strong experience in a Business/Data Analyst role
Proficiency in PySpark and SQL, with the ability to navigate databases, especially Hive
Experience with Google Cloud Platform services like BigQuery, Cloud Storage, Dataproc, and Dataflow
Strong analytical skills to handle and manipulate large datasets
Knowledge of data modeling, database design, and data management principles
Excellent communication skills to present complex data insights clearly
Familiarity with SDLC, Agile processes, and testing methodologies such as TDD
Attention to detail and ability to manage multiple priorities
Experience with data models and dictionaries in a financial context
benefits :
sharing the costs of sports activities
private medical care
remote work opportunities
flexible working time
fruits
integration events
corporate gym
mobile phone available for private use
computer available for private use
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
