We’re looking for an experienced Data Analyst to join our Data Science team and turn complex data into meaningful insights that drive smarter decisions. In this role, you’ll work with large and diverse datasets, uncover patterns and opportunities, and use advanced analytics to help solve real business challenges.
If you’re naturally curious, enjoy tackling complex problems, and are passionate about transforming data into actionable insights, this is an opportunity to make a real impact in a fast-paced, data-driven environment.
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
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
Attractive remuneration package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
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
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