Data Analyst

at  ITDS Business Consultants

JOIN US, AND DRIVE INNOVATION THROUGH CUTTING-EDGE ANALYTICS!

Krakow-based opportunity with the possibility to work 60% remotely!
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.

YOUR MAIN 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

YOU’RE IDEAL FOR THIS ROLE IF YOU HAVE:

• 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