- Py Spark
- SQL
- Google Cloud Platform
- Big Query
- Cloud Storage
- Dataproc
- Dataflow
- Python
- Hive
about-project :
- 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 Py Spark and SQL, with the ability to navigate databases, especially Hive
- Experience with Google Cloud Platform services like Big Query, 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
- access to +100 projects
- access to Pluralsight
