Data Analyst with Python

Role: Data Analyst (Python)

Location: remote - occasional visits to the office in Krakow (flexible)

Industry: Banking

Duration: Long-term cooperation

Type of contract: B2B

We are looking for a Data Analyst who combine strong analytical capabilities with a deep understanding of data.

You’ll leverage data modeling and analytics to help our technology teams define more accurate and impactful requirements.

Data Analyst will play a crucial role in supporting and delivering various business requests within a dynamic team.

Main Responsibilities

As a Data Analyst, you will be responsible for key data-driven initiatives, contributing to technological advancements and data improvement processes.

• Analyzing and improving data quality in data lake systems such as Google Cloud or Hadoop using Jupyter Notebooks, identifying data anomalies and communicating these to stakeholders.

• Reviewing, analyzing, and enhancing PL/SQL code, often utilizing GitHub to track changes, bugs, and commit history.

• Grooming User Stories for the Engineering Scrum team, collaborating to understand issues and implement solutions.

• Supporting the alignment of static reference data along with performing discovery of Product Taxonomy for business segments, core banking and account systems — identifying data gaps and ensuring they are filled.

• Writing advanced SQL queries and using Python pandas to analyze large volumes of data with Jupyter Notebooks.

Key Requirements

• PL/SQL

• Pandas / Python

• Advanced SQL

• Banking experience

• Data analyst experience

• Experience working with large amounts of data - millions of records

• Familiarity with either Hadoop ecosystem or Google Cloud

Nice to Have

• Experience with data governance processes

• Understanding of data lake architectures

• GitHub experience