Job Scope

The perfect candidate should have a combination of technical expertise, analytical thinking, and business acumen. You will have a crucial role in converting data into valuable insights that drive business decisions. This involves using various skills and tools to clean, analyze, and visualize data, as well as creating machine learning models and data products to support different business functions.

Job Responsibilities

Data Analysis:

• Perform detailed data analysis and interpretation to identify trends, patterns, and insights.
• Utilize statistical tools and techniques to extract actionable insights from large and complex datasets.
• Conduct ad-hoc analysis to address specific business questions and challenges.

Machine Learning and Predictive Analysis

• Develop machine learning models to support various business functions, enhancing predictive/ prescriptive capabilities and operational efficiency.

Reporting and Visualization:

• Develop and maintain regular PBI reports and dashboards to track key business metrics and facilitate informed decision-making.
• Present findings and insights to stakeholders through clear and compelling visualizations.
• Train & support business users on building dashboards/ visualizations on their own.

Collaboration:

• Work closely with various departments to understand their data needs, pain points and provide analytical support.
• Collaborate with Digital Technology and Data Engineering teams to improve data infrastructure and accessibility.
• Participate in cross-functional projects to drive data-driven decision-making.

Strategic Insights:

• Provide recommendations based on data analysis to support strategic planning and decision-making.
• Identify opportunities for process improvements and operational efficiencies.
• Monitor industry trends and competitive landscape to inform business strategies.

Documentation:

• Document all methodologies and results to ensure clarity and reproducibility of analyses.

Requirements

Education:

• Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, Business Analytics or a related field.

Experience:

• 1-4 years proven experience as a Data Analyst or similar role, preferably in the Retails, F&B or FMCG industry.
• Familiarity with database management systems, data manipulation, and data cleaning techniques.
• Familiarity with below Tech Stacks:
  • Python
  • PowerBI
  • SQL/ Non-SQL
  • Data science stack – Pandas, Numpy, visualization packages, SciPy, Scikit Learn, Tensorflow, etc.
  • Version control with git
  • Google Cloud Platform

Knowledge/ Skills:

• Understanding of statistics, probability, and data analysis techniques that are foundational to interpreting data sets.
• Strong problem-solving skills and ability to think critically.
• Excellent communication & presentation skill.
• Strong collaboration and stakeholder-management capabilities. 
• Excellent verbal and written communication in English; Cantonese/Mandarin a plus

Benefit package: