Data Analyst

Job Description:

• Core Skills:
  • Data Product Development, Data Mart design
  • Understanding of Machine Learning / Deep Learning / Time-Series / Optimization
  • Banking Retail, Business & Wholesale Product Knowledge and understanding
  • Communication & Inter-personal skills
  • People Management & Multicultural awareness
• Technical Skills:
  • Strong skills using Python (+ R, SAS, Spark) , SQL, DAX
  • Strong coding skills in a data programming language: Python, R, Java
  • Cloud Data technologies
• Competencies:
  • Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
  • Deployment experience (various databases, server/cloud environment: AWS, Azure, and APIs, ODBCs, web apps)
  • Excellent knowledge of Banking Functional Knowledge (major plus)
  • Good written, oral communication, documentation skills with ability to communicate effectively with stakeholders
  • Understanding of banking products, functional knowledge is a major plus
  • Experience in working with tools like Power BI, Tableau or Qlik
• Proven experience as a Data Analyst or in a similar role, with at least X years of hands-on experience in developing data pipelines and managing data infrastructure within Azure.
• 3 years of experience in banking data
• Python and SQL experience required
• Worked on end-to-end Data Product deployment