Data Analyst

Role Overview

The Data Analyst will work with the Product and Portfolio Support Team to provide around the clock coverage for the creation, deployment, and upkeep of enterprise-wide Extract-Transform-Load (ETL) mappings. The role involves transitioning legacy operations to more efficient and modern systems, while working with multiple business, technical and support teams for the development and maintenance of critical ETL mappings.

What You Will Do

The Data Analyst will design, build, test, and evolve ETL pipelines using Python and Jupyter notebooks, convert raw data streams from multiple external sources into formats suitable for ingestion by proprietary applications, and produce and maintain clear, detailed documentation for both new and existing ETL processes.

Why It Might Be a Fit

The ideal candidate will blend technical expertise with a proactive, service-oriented mindset, and have a deep grasp of object-oriented programming, design patterns, and core software engineering concepts.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent professional experience
• Strong proficiency in Python
• Experience with SQL and Bash
• Solid knowledge of data-science libraries such as Pandas, NumPy, and SciPy
• Advanced Excel skills, including complex formula construction
• Ability to read and interpret XML schemas and understand XML-based workflows
• Experience and knowledge using AWS technologies including Kibana and APM for troubleshooting
• Deep grasp of object-oriented programming, design patterns, and core software engineering concepts
• Experience in agile software development, release and change management, and frequent deployments into production environments
• Experience in the financial services industry and some knowledge of financial products is a plus
• Excellent written and verbal communication skills in English

Benefits

• Attractive compensation package
• Platinum health insurance
• Sport membership
• Food vouchers
• Employee assistance program
• 25 vacation days per year
• Additional vacation days with 1 added for every year in the company (up to 3 additional days)
• Flexibility in working hours and locations (WFH available)
• Professional environment with great development opportunities
• Tuition reimbursement program (personal budget up to 1000 EUR)
• Opportunity to work in a well-established and profitable company with a culture that rewards results

Tagged as: Data Analysis