Data Analyst - Data Science team
Summary
Analyze large datasets with Python, Pandas, and BI tools to build dashboards and uncover trends that guide business decisions.
The Role:
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.
The main responsibilities of the position include:
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Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
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Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
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Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics.
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Support the evaluation and assessment of machine learning models through data analysis and performance reporting.
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Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value
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Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
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Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders
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Present insights, analysis results, and recommendations to both technical and non-technical audiences
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Ensure adherence to best practices in data quality, version control, and reproducible analytics
Main requirements:
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University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
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At least 3 years of experience in data science including hands on experience with Data Analysis
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Strong programming skills in Python, with hands-on experience using Pandas, NumPy, and other data analysis libraries.
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Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly
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Hands-on experience with data visualisation and BI tools, such as Power BI.
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Solid understanding of statistics and data mining techniques
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Experience working with relational and non-relational databases
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Basic knowledge of Machine Learning concepts and techniques, with an interest in applying them to real-world data problems.
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Strong analytical and problem-solving skills, with excellent attention to detail.
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Excellent communication skills and the ability to work collaboratively in a team environment
Benefit from:
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Attractive remuneration package plus performance related reward
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Private health insurance
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Corporate pension fund
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Intellectually stimulating work environment
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Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
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Let’s Connect – Intro Chat with Talent Acquisition
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Deep Dive – First Interview with Your Future Team
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Bring It to Life – Role-Specific Take-Home Task
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Final Connection – Final Interview