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Zoolatech Hiring! Full Time Data Analyst in Hong Kong - Ricebowl

Data Analyst

Zoolatech

Undisclosed

Central, Hong Kong

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Working Location

  • Central Hong Kong Hong Kong

Job Description

Responsibilities

OVERVIEW
RESPONSIBILITIES
REQUIREMENTS

Do you want to be a part of the world’s leading jewelry company while putting your experience in technology into use? If yes, then we have an exciting opportunity for you! You will be part of Pandora Marketing Analytics teams and work in an international organisation of can-do spirited, passionate, and performance-driven people. We value flexibility and informal working, where you are trusted to deliver and to focus on outcomes and business value.

  • Formulate and define scope and objectives based on a thorough understanding of business needs and business processes.
  • Understand the business implications of advanced analytics solutions and assist in defining the solutions to support any future business requirements.
  • Execute advanced analytics projects and provide ad hoc analyses to the business as needed.
  • Design, drive, and implement analytics tools and ad hoc analyses. Engage with users to understand & meet their analytics requirements.
  • Ensure timely delivery of reports/analysis and proactively communicate delays/issues.
  • Ensure data accuracy in each deliverable.
  • Provide support for business continuity of deliverables/analyses, and drive the usage and adoption of our new self-service analytical tool.
  • 3-5 years of relevant experience
  • Proficiency in data visualizations and dashboards.
  • Effective SQL skills.
  • Strong analytical skills.
  • Proficiency in querying and manipulating complex raw datasets for analysis.
  • Experience explaining technical concepts to varied audiences and experience translating business objectives into actionable analyses, with a focus on design thinking and user centric design
  • Sound knowledge & experience in business communication/ presentation skills and reporting
  • Proven stakeholder management skills
  • BS Degree in Business, Economics, Statistics, Mathematics, Applied Mathematics, Information Technology, Finance or similar.
  • Passion for data science & AI, & having Python or Pyspark skills is a plus
  • Fluent English both spoken and written

Location:

Other, Central Europe

Seniority:

Middle

Technologies:

Data, Product/Analyst

Benefits:

  • Paid Vacation
  • Sick Days
  • Floating Holidays
  • Sport/Insurance Compensation
  • English Classes
  • Charity
  • Training Compensation

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