Senior/Mid Data Analyst

  • Full time
  • Prague
  • Posted 2 weeks ago

T-Mobile Polska S.A.

R (regular)
Keras (regular)
Pandas (regular)
NumPy (regular)
SQL (regular)
Python (regular)
Location: Warsaw, Marynarska 12
Mode: Hybrid/Full Remote
Type of contract: B2B contract
Remote recruitment

As a Senior/Mid Data Analyst you will be required to wear multiple hats. You must have a superior blend of business, analytical and/or statistics skills, presentation skills, and the ability to develop strong partnerships/relationships with key business partners. You will be part of the Credit risk management team within Finance area to define overall credit risk strategy by providing analytics insights and proposing relevant credit risk decisions.

You will be responsible for identifying new credit segmentation or business strategy opportunities to drive enhancements to our credit decision process and policies.

You must be able to manipulate large amounts of data, provide findings on data context and quality, extract key insights from the data using statistical concepts, and then be able to take it up a notch by clearly and concisely communicating actionable recommendations based upon your insights. You will be expected to represent the Credit Risk Management team in the role of credit data, credit strategy and statistic methodology expert.


  • Develop a deep understanding of industry, corporate, and customer drivers to leverage in optimization of all aspects of our decision strategy and business processes across the credit lifecycle
  • Perform a leading role on initiatives, working with corporate stakeholders to understand key business issues and translate them into credit strategy and business solutions
  • Lead qualitative and/or quantitative analysis of credit policies to ensure business and financial objectives are achieved
  • Lead the development of predictive financial and analytical using appropriate statistical methodologies
  • Participate in the selection of external and internal data-only or data-driven solutions, leading and performing the analysis of new products or solutions
  • Lead efforts in loss forecasting analysis
What do you bring?
  • Knowledge about Python, SQL, R
  • Knowledge about Python libraries ( NumPy, Pandas or Keras)
  • Credit or Collections risk experience – nice to have 
  • University education in the field of Finance, Economics, Mathematics. Statistics or related filed.
  • Communication, organization and presentation skills
  • Financial institution or Telecom experience a plus
  • Preferably experience with Agile methodologies
  • Fluent English

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