Senior Business Planning Analyst

YesStyle.com Ltd

Kwai Chung, Hong Kong
Permanent
Full-time

26 days ago

YesStyle.com is the first online retailer in Asia globally distributing a wide selection of quality Korean beauty products, Asian fashion and lifestyle products. We strive to deliver a unique online shopping experience for customers worldwide. We invite you to join us as:YesStyle is looking for passionate talents, who love and appreciate the fascination of Fashion and Korean Beauty. Our team is active, energetic, and culturally diverse.To embrace the idea of work-life balance, we also endeavor to create a fun and enjoyable environment for our team members.Support company business growth and help us make data-driven decisions through identifying business intelligence and opportunities. Communicate business findings and strategic plans to management team and stakeholders across the organizationWhat You'll Do:

Responsible for collecting, analyzing, and interpreting large datasets to help inform business decisions
Work closely with stakeholders to provide data-driven insights and recommendations
Create reports and visualizations that communicate findings to stakeholders
Develop and maintain data models to supports business needs and identify opportunities for growth
Conduct ad-hoc analysis to answer business questions or investigate data anomalies

What You Have:

University graduate in Data Science, Statistics, Mathematics, Computer Science or relevant discipline
3+ years of experience in data analytics related areas
Strong analytical skills with experience in data analysis and visualization
Proficiency in Python, R, MS Excel or other relevant tools Excellent communication skills with the ability to present complex data in a clear and concise manner
Good analytical and problem-solving skills, ability to work independently and collaboratively in a team environment
Self-motivated and able to accomplish multiple tasks with minimal supervision;
Good command in both spoken and written English
Experience in e-commerce/retail industry is an advantage

What You'll Enjoy:

5 Days Work
Dynamic, International Cultural & Friendly Working Environment
Performance Bonus
Medical / Dental Insurance
Staff Purchase Discount Program
Training Programs
Team Member's Wellness Program
Annual Leave, Full Pay Sick Leave
Birthday Leave, Examination Leave
Managerial Stock Options

Statistics, Mathematics, Computer Science or relevant discipline * 3+ years of experience in data analytics related areas

Strong analytical skills with experience in data analysis and visualization
Proficiency in Python, R, MS Excel or other relevant tools Excellent communication skills with the ability to present complex data in a clear and concise manner
Good analytical and problem-solving skills, ability to work independently and collaboratively in a team environment
Self-motivated and able to accomplish multiple tasks with minimal supervision;
Good command in both spoken and written English
Experience in e-commerce/retail industry is an advantage

What You'll Enjoy:

5 Days Work
Dynamic, International Cultural & Friendly Working Environment
Performance Bonus
Medical / Dental Insurance
Staff Purchase Discount Program
Training Programs
Team Member's Wellness Program
Annual Leave, Full Pay Sick Leave
Birthday Leave, Examination Leave
Managerial Stock Options

The more you put into your career at YesStyle, the more opportunities you’ll receive. Throughout your time in the Company, you’ll be assessed on the core competencies of your position and prepared for the next level of your development. Your role at YesStyle should progress naturally as you move from assistant grade to management, taking on challenges and responsibilities suited to your unique skills and talents.Please send your full resume stating your current and expected salary to Human Resource Department for application. You can also send your resume to our Whatsapp: 9494 6644 for application.To know more about us, please visit www.yesstyle.com.All information provided by applicants will be treated in strict confidence and used only for the recruitment purpose in accordance with employer's data policies.

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