Data Analyst supporting supply chain risk management for federal agencies. Focusing on data analysis and mitigation strategies in a collaborative team environment.
About the role
- Data Analyst / Data Scientist joining a dynamic project in the banking sector at Avenga. Working with data to generate insights, validate hypotheses, and build scalable data solutions.
Responsibilities
- Perform data analysis and data mining to support business decisions
- Formulate and validate data-driven hypotheses
- Develop and maintain ETL processes using PySpark
- Ensure high-quality, production-ready data pipelines and Python code
- Collaborate with business and technical stakeholders
- Continuously identify opportunities for improvement and innovation
Requirements
- At least 3 years of experience working with data (analysis, data science, or data engineering)
- Experience in data mining, including hypothesis formulation and testing, target definition, and performance evaluation (coverage, lift, robustness) just only on side projects, testings previous position, pandas, puspark , polars
- Ability to deliver high-quality results, even for routine and repetitive tasks
- Hands-on experience with PySpark for ETL and data transformations
- Practical knowledge of Pandas or Polars (at least one required)
- Experience with Git and version control tools (Bitbucket or GitHub)
- Ability to follow best practices for production Python code (Jupyter for exploration, clean .py files for production)
- Strong communication skills, with the ability to collaborate with both analysts and business units
- Comfortable working in an iterative environment, incorporating feedback
- Proactive mindset, able to propose and implement new data-driven hypotheses
- Good command of English (written and spoken)
Benefits
- life insurance
- pension contribution
- EN/DE/ES lessons
- MultiSport card
- sick days
- meal allowance
- lots of company events
- quality amenities for lovers of sport, food and coffee
- hybrid remote work after mutual agreement
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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