Data Analyst - Data Science team.

The Role: 

The main responsibilities of the position include:

• Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets 

• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies 

• Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics. 

• Support the evaluation and assessment of machine learning models through data analysis and performance reporting. 

• Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value

• Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality 

• Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders 

• Present insights, analysis results, and recommendations to both technical and non-technical audiences 

• Ensure adherence to best practices in data quality, version control, and reproducible analytics  

 

Main requirements:

• University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field 

• At least 3 years of experience in data science including hands on experience with Data Analysis 

•  Strong programming skills in Python, with hands-on experience using Pandas, NumPy, and other data analysis libraries. 

• Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly

• Hands-on experience with data visualisation and BI tools, such as Power BI.

• Solid understanding of statistics and data mining techniques 

• Experience working with relational and non-relational databases 

•  Basic knowledge of Machine Learning concepts and techniques, with an interest in applying them to real-world data problems.

• Strong analytical and problem-solving skills, with excellent attention to detail. 

• Excellent communication skills and the ability to work collaboratively in a team environment 

Benefit from:

• Attractive remuneration package plus performance related reward 

• Private health insurance 

• Corporate pension fund 

• Intellectually stimulating work environment 

• Continuous personal development and international training opportunities 

The Hiring Experience: What Awaits You

• Let’s Connect – Intro Chat with Talent Acquisition 

• Deep Dive – First Interview with Your Future Team 

• Bring It to Life – Role-Specific Take-Home Task 

• Final Connection – Final Interview