Data Analyst - Tribe Billing
Data
Data Analyst - Tribe Billing
T-Mobile Polska S.A.
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Remote
Tech stack
SQL
Tableau
MS Excel
Job description
Online interview
Location: Warsaw, Marynarska 12 (hybrid / 100% remote)
Type of contract: B2B contract
Online recruitment
As a 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.
Type of contract: B2B contract
Online recruitment
As a 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.
What will you do?
What will you do?
- Development and maintenance of analysis/reporting tools
- Preparation of analysis models
- 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
- Preparation qualitative and/or quantitative analysis of credit policies to ensure business and financial objectives are achieved
- Lead efforts in loss forecasting analysis
What do you bring?
- Min. 1 year of experience in SQL
- Knowledge about reports tools (Tableau, PowerBI..)
- Communication, organization and presentation skills
Nice to have:
- Credit or Collections risk experience
- Experience in BigData area
- Experience in Python
- University education in the field of Finance, Economics, Mathematics. Statistics or related filed.
- Financial institution or Telecom experience a plus
- Preferably experience with Agile methodologies
- Good English