Job ref no.: CT3128865-01#0388
A.S. Watson Retail (HK) Limited

Data Analyst

A.S. Watson Retail (HK) Limited

Come and join a Winning Team

We are Awesome!

Why Should You Join Us?

At ASW, we believe in our people, in teamwork and the importance of your personal growth. If you are looking for the opportunity to join our award-winning international family with 15,000+ stores across 25 markets in Asia and Europe, the ASW family welcomes you… #BePartofMORE

You can enjoy:

  • Comprehensive Medical and Life insurance coverage, including your spouse and children!
  • Professional training and career advancement opportunities!
  • Attractive ACCA and CPA Australia Recognized Employer Program for F&A talents!
  • Exclusive company pension schemes! Marriage, Maternity and Paternity Leave!
  • Convenient office location, less than 5 min. walk from MTR!
  • Contemporary workplace with Onsite Clinic, Lactation Rooms, free drinks and chill out areas!
  • Well-equipped Gym inside our office building, plus fitness and interest class packages!
  • Free round-trip lunchtime shuttle bus services to Shatin!
  • Exclusive shopping discount, Bazaar Sales for our people only!

Role Purpose:

As a Data Analyst, you will focus on implementing tactical and strategic business transformation, change, and continuous improvement through big data initiatives. Also, you will introduce actionable insights through data analysis to Business units to improve the availability, quality, and timeliness of business insights.

A typical day in this Role:

  • Work with large volume of data via SQL, Python.
  • Consult with business units and data scientists on the team to analyze and discover insights.
  • Apply advanced statistic and analytics to analyze data, and draw insights from analysis results
  • Articulate and present findings to different stakeholders
  • Track and evaluate performance to provide insight and actionable advice
  • Prepare automation of regular analysis and generate reports
  • Participate in projects and ad-hoc assignments
  • Validation of data science-related products
  • Other duties as assigned

This job is a good fit for You if:

  • You love data analysing
  • You have knowledge with SQL, Python
  • You are motivated and continuous learning

What we look for:

  • Bachelor degree in Computer Science, MIS, Statistics, Business or related discipline
  • 2 – 3 years of related experience
  • Strong background and passion in data analysis and insights discovery. Past analysis portfolio is highly desired
  • Extensive knowledge and skills in SQL and dealing with large data sets. Python experience is highly preferred
  • Deep understanding of analytics, including business intelligence and insights discovery
  • Excellent verbal and written communication skills with the ability to work with diverse groups of people

What is holding you back?

Don’t miss out on this great chance to shape Your life!

Apply Now

Interested parties please e-mail your full resume in WORD FORMAT with expected salary to our company email (shown in our Company Profile).

We are an equal opportunity employer and welcome applications from all qualified candidates. The information provided will be treated in strict confidence and be used only for consideration of your application for relevant / similar posts within the A.S. Watson Group.

Applicants not hearing from us within 6 weeks from the date of advertisement may consider their applications unsuccessful. All personal data of unsuccessful applicants will be destroyed within 12 months from the date of application.

More job information
Job ref no. CT3128865-01#0388
Salary
Job Function
Industry
Location
  • Shatin
Employment Term
  • Permanent
  • Full-time
Experience
  • 2 years - 3 years
Career Level
  • Non-management level
Education
  • Degree
Require to Travel
  • Travel frequently
Benefits
  • 5-day week
  • 13-month pay
  • Compassionate leave
  • Competitive pay
  • Dental plan
  • Discretionary bonus
  • Extra maternity leave
  • Family medical plan
  • Insurance plan
  • Marriage leave
  • Medical plan
  • Social / Recreation & Sports Facilities
  • Staff care centre
  • … + 8 more