Education:

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

Experience:

1-3 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:

PowerBI

Python

SQL

Google Cloud Platform (big query)

Version control with git

Knowledge/ Skills:

Understanding of statistics, probability, and data analysis techniques that are foundational to interpreting data sets.

Knowledge of machine learning and predictive analytics.

Strong problem-solving skills and ability to think critically.

Excellent communication and collaboration & presentation skill.

Ability to work independently and collaboratively using Scrum methodology.

Good command of English.

Cantonese & Mandarin capability is a plus.

Attractive salary package depending on seniority

Hybrid Work Policy

16 days annual leave + 6 paid sick leave

PVI Healthcare extra

Learning & Training opportunity

Caring policies, supportive and employee-centric work environment

Engagement Activities

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 Analytics:

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.

Địa điểm làm việc: Hybrid