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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

14Open Positions

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Data Analyst Trainee

BNP Paribas
Found 1 month ago
Location
Lisbon, Portugal
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • MS Excel
  • data scientists
  • data
  • data use cases
  • data analysis
  • data needs
  • data systems

Soft Skills

  • Ability to quickly comprehend new software tools and learn how to use them optimally
  • Great attention to detail
  • Excellent interpersonal, communication and influence skills
  • Good conceptualization skills
  • Open, curious and eager to learn and discover day to day banking products

Job Description

The Transaction Banking business concerns two fundamental business lines: + Cash Management: all products that assist our customers with their liquidity needs (current accounts, term deposits, payments & collections, forex) + Global Trade Solutions: all products that assist our customers with their global trade needs (letters of credit, guarantees, supply chain management, factoring) As Transaction Banking Chief Operating Officer (TB COO) team, we assist our different business team in multiple topics, both on daily/monthly needs as in project mode. Within the COO team we have a small team of data scientists focusing on data, who are involved in the data use cases from exploration phase up to production delivery. This position provides an excellent opportunity to learn about the overall banking industry as a whole, more specifically dealing with the Transaction Banking business across all regions (EMEA, APAC, AMER) The Data Analyst Trainee’s main mission is to provide support to the Cash Management fee analysis Unit and to contribute to the pricing to billing initiatives

Requirements

  • Bachelor’s degree in Data Analytics, Computer Science, Information Management, Business Intelligence, Business, Economics or Mathematics
  • Fluency in English
  • Highly proficient with MS Excel
  • Ability to quickly comprehend new software tools and learn how to use them optimally
  • Great attention to detail
  • Excellent interpersonal, communication and influence skills
  • Good conceptualization skills and data exposure
  • Open, curious and eager to learn and discover day to day banking products

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Data Analytics
  • Computer Science
  • Information Management
  • Business Intelligence
  • Business
  • Economics
  • Mathematics
  • banking industry
  • Transaction Banking business
  • Cash Management fee analysis Unit
  • pricing to billing initiatives
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