Canopy

FundPark (HK)- Data Analytics Manager

Senior Level
Hong Kong
Data Analytics Manager- FinTech
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About Us

FundPark Limited is the leading trade finance platform in Asia, connecting corporates with capital market to unlock business potential. Headquartered in Hong Kong, FundPark has its business exposure and expansion in different parts of Asia.

Who we're looking for

We are at fast growing phase where you will get the chance to work on a lot of new software with modern technologies. Looking for highly motivated and enthusiastic talent who will push the boundaries on delivering brilliant solutions for our customers.

What you will be doing
  • Work close with product and management team for striving greater functionality in the data systems
  • Manage data team to provide data analysis service at company level
  • Perform data mining and analysis to identify new business opportunities, and optimize the profitability of the business
  • Design, build and support lending technology data model for reporting, ad-hoc analysis, and advanced analytics
  • Design and manage corporate data warehouse to ensure its accuracy and effectiveness
  • Design and ensure data governance and lineage is maintained for new structures
  • Provide MIS support on business activities, product performance and portfolio management
  • Perform ad hoc analysis on large/diverse datasets by using various tools and techniques

About you
  • Degree holder in Business Administration, Statistics, Information System or related disciplines
  • 8+ years of experience in SQL, ETL and analysis service programming or other related experience
  • 3+ years of experience in data team management
  • Experience in AWS cloud services
  • Experience in designing data architecture or project management
  • Experience in Tableau or other BI and data visualization tools
  • Strong data mining, database management and programming skills
  • Strong logical thinking and analytical mindsetwith good report writing skills
  • Excellent interpersonal, communication and leadership skills
  • Knowledge in financial products preferred
  • Knowledge in machine learning and AI is a plus

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