Lead Data Analyst

4 dni temu


Warszawa, Mazovia, Polska T-Mobile Pełny etat
Job Summary

We are seeking a highly skilled Lead Data Analyst to join our team at T-Mobile Poland. In this role, you will be responsible for collaborating with our team to develop and implement advanced data science models and techniques to analyze network and business data.

About the Role

This is a challenging and rewarding opportunity for an experienced data analyst to work on complex projects that drive business growth and improvement. You will work closely with stakeholders to understand their needs and help translate those needs into clear analytical tasks.

Key Responsibilities
  • Develop and maintain a model building environment to support business operations across the value chain.
  • Analyze network and business data to identify trends and potential performance improvements.
  • Apply advanced analytical methods and develop algorithms/models to extract insights from various data sources.
  • Collaborate with stakeholders to ensure data-driven insights and inform business decisions.
  • Work closely with the team to build and maintain a model building environment.
Requirements

To succeed in this role, you will need:

  • At least 4 years of proven industry experience in data analysis or a related field.
  • Programming skills in Python, with expertise in machine learning libraries (e.g., Scikit-Learn, Tensor Flow) and big data tools (e.g., Spark, Hadoop).
  • Experience working with cloud platforms (AWS, Data Robot preferable) and big data ecosystems.
  • Strong problem-solving skills, creative thinking, and the ability to address open challenges.
  • Knowledge of SQL, databases, and agile software development practices.
Salary Estimate

We offer a competitive salary estimate of approximately €60,000 - €80,000 per year, depending on experience and qualifications.

Benefits

As a valued member of our team, you can expect:

  • A flexible working time arrangement.
  • A mobile phone available for private use.
  • No dress code policy.
  • Parking space for employees.
  • Employee referral program.
  • Charity initiatives.


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