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Data Analyst

Country : Area Hong Kong

Town : 香港

Category : Retail

Contract type : Permanent

Availability : Full time

Company presentation

Organized in 1899, VF Corporation is a global leader in branded lifestyle apparel, footwear and accessories, with global iconic brands, 64,000 associates and $12.4 billion in revenue. Our businesses and brands are organized into four categories called coalitions, comprising: Outdoor & Action Sports, Jeanswear, Imagewear, and Sportswear. While VF is highly diversified across brands, products, distribution channels and geographies, our One VF culture and approach to doing business provide a unique and powerful competitive advantage.

Job description

Job AdI: Key Purpose of the Job
We are searching for a proactive and self-driven data analyst with a passion for numbers and problem solving. As a key member of our digital technology team, you will be responsible for collecting and sharing data in order to provide detailed insight and facilitate decision making processes on DT as well as on business side. You will liaise with internal and external teams to improve current data quality, structure and visualization.
II: Key Area of Responsibilities
- Enrich data warehouse and prepare relevant data models and proof of concepts
- Perform data mining and analysis to identify new business opportunities
- Design, prepare and review reports on business performance analysis
- Create key insights and recommendations through quantitative analysis
- Actively contribute ideas to ensure constant innovation in our approach to data
- Work closely with various business units on the needs of data analysis
- Perform ad hoc analysis on large and diverse datasets by using various tools and techniques
- Responsible for developing web & backend applications
- Participate in API design and implementation
- Analyze user requirements and ensure standards, procedures, and methodologies in the development life cycle are followed
- Maintain and support in-house applications for Product Supply Organization when requiredIII: Major Challenge:
- Ability to work under pressure, meet deadlines and handle multiple projects simultaneously.
- Ability to manage multiple priorities and deadlines simultaneously.III: Management Responsibilities
- Number of Subordinates Directly Reporting to this Position: None
- Number of Subordinates Indirectly Reporting to this Position: NoneIV: Know-how and Competency Requirements
- Minimum Relevant Experience: 4 year(s)
- Minimum Supervisory Experience: N/A
- Minimum Academic Requirement: Bachelor Degree Holder
- Major Subject: Computer Science / Information Technology or related disciplinesLanguage Proficiency:
- Fluent in: English (Mandatory)
- Fluent in: Cantonese & Mandarin (Optional)
Behavioral Competencies:
- Team Oriented
- Excellent communication
- Self-organized, able to see the big picture, break complexity and manage inter-dependencies
- Focused on delivering results
- positive can-do attitudeFunctional Competencies:
- Business acumen
- data analysis and requirement engineering experience in related industries
- Strong data mining, database management and programming skills
- Strong problem-solving skills and able to work under tight timeline
- Essential Agile experiences.Technical Competencies:
- Practical experience in collecting, ingesting, storing, processing and visualization using AWS Big Data technologies:
- S3, RedShift/Redshift Spectrum/Athena, Aurora/MySQL.
- Glue, Lambda, Data Pipeline, Kinesis etc.
- Demonstrated proficiency in Tableau and visual analytics concepts
- Practical knowledge in Python and R is an advantage
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