แชร์ตำแหน่งงานนี้

Data Analytics Audit

วันที่:  28 ก.ย. 2565
ตำแหน่งที่ตั้ง: 

กรุงเทพมหานคร, ไทย

บริษัท:  ธนาคารเกียรตินาคินภัทร จำกัด (มหาชน)

Job Summary

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Role and Responsibilities / หน้าที่ความรับผิดชอบ

  • Develop methodologies and tools for collecting, transforming and analyzing large data sets, as well as presenting audit comments and visualizations to all stakeholders.
  • Project management and implementation of enterprise initiatives for the Internal Audit team
  • Manage a portfolio of advisory and audit analytics projects, ensuring tasks are being done on time and in an efficient and accurate manner.
  • Pro-actively developing and maintaining strategic partnerships within the Internal Audit team, the business and respective support areas across KKPFG.
  • Identify and communicate data-related insights and drive positive change across KKPFG.
  • Contribute to continuous improvement of the quality and risk management of analytics solutions developed by the analytics team.

Qualifications / คุณสมบัติ

  • Degree educated, preferably in Statistics, Engineering, Maths, Audit, Accounting, Computer Science, Finance, Economics or another relevant quantitative discipline.
  • Minimum 3 years of experience with Data Analytics, External Audit or Internal Audit/Consultant within a large company that provides financial products and services
  • Proven experience in data analytics and project management. Experience in Agile delivery methods and implementation is beneficial
  • Knowledge of financial service industry (incl. banking and capital markets preferred)
  • Enthusiastic, having a flair for problem solving and comfortable with handling data ambiguity
  • The ability to work as part of a team as well as an individual
  • Growth Mindset
  • Able to work under pressure and independence

Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง

  • Hands on experience with tools such as Power BI, Tableau is required, the well-known certified such as Microsoft Power BI Data Analyst (PL-300), Tableau Certified Data Analyst, etc. is beneficial
  • Computer languages such as SQL, R, Python is beneficial