Data Analyst (Data Science, Python, SQL) | HK Talent Engage

Job description

AS Watson Group, the world’s largest international health and beauty retailer, is operating over 16,000 stores under 12 retail brands in 28 markets, with over 130,000 employees worldwide. For the fiscal year 2022, AS Watson Group recorded revenue of US$22 billion. Every year, we are serving over 5.5 billion shoppers via our O+O (Offline plus Online) technology-enabled platforms.
Together with our 12 retail brands including Watsons, Kruidvat, Trekpleister, Superdrug, Savers, Rossmann, Drogas, ICI PARIS XL, The Perfume Shop, PARKnSHOP, FORTRESS and Watson’s Wine, we set O+O (Offline Plus Online) as the new standard for retail. O+O is more about creating an integrated offline and online experience to better serve customers’ needs through digital transformation, that enables them to shop across any channel, anytime, anywhere. Every day, we work towards a clear purpose: To put a Smile on our customers’ faces today and tomorrow.
Our success depends on our people staying ahead of the game. We believe that our attitude to teamwork and our encouragement for your personal growth comes shining through everything we do. We also know that our success as an employer isn’t just about influencing you on why you should join our business. It’s about asking you to imagine where it could take you.
Join us. Be part of More.

Come and join a Winning Team

We are Awesome!

Why Should You Join Us?

At AS Watson, 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 over 16,000 stores across 28 markets in Asia and Europe, the ASW family welcomes you…

You can enjoy :

• Conveniently located in Whampoa, less than 5 min. walk from MTR
• Cozy office with contemporary design
• Comprehensive Medical and Life insurance coverage, including your spouse and children

Role Purpose:
We are looking for a Data Analyst to discover valuable insights from vast amount of data that help us make smarter decisions and deliver better products and services to our customers, through performing statistical analysis and data visualization.

A typical day in this Role:

• Performing statistical analysis to understand the in-market impact of our Big data solution.
• Working closely with regional team leads, product managers, and business owners to drive changes based on data insights.
• Working closely with data scientists to evaluate/ measure the performance of data science models.
• Sharing your findings through data visualization and efficient communication.
• Telling a story of how AI/ Big data is enhancing our customer’s experience.

This job is a good fit for You if:

• You are a PROBLEM SOLVER. You make decisions based on evidence-based opinions.
• You are a DETAILER. You deliberate fully before making decisions and will need to see all the facts before reaching a conclusion. You follow up rigorously.
• You are a BIG PICTURE THINKER. You are a big fan of brainstorming and collaborative idea generation. You stay up to date on trends and are always open to new possibilities.

Success will depend on:

• At least 2 years of relevant experience in data science, preferably in retail industry.
• University degree in Statistics, Mathematics, Physics, Economic, or other related disciplines.
• Solid knowledge and experience in various statistical techniques, Python, SQL.
• Knowledge in Hypotheses testing, statistical analysis and/or causal inference.
• Experience with statistical modeling and machine learning pipeline is preferable.
• Able to communicate methodologies and data insights in a clear and effective manner to different levels in the organization.

What is holding you back?

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

Apply now!

Interested parties, please send your resume with current and expected salary package to our Company’s email.

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.