Job Overview:
We are seeking a talented and detail-oriented Data Analyst to join our dynamic team. In this role, you will work closely with data scientists, engineers, and business leaders to extract actionable insights from large datasets and help drive business decisions. You will play a critical part in transforming complex data into clear and concise reports, dashboards, and visualizations that inform strategic initiatives and AI model development.
Key Responsibilities:
- Analyse large and complex datasets to identify trends, patterns, and correlations.
- Create and maintain interactive dashboards and reports using tools like Tableau, Power BI, or Looker.
- Collaborate with data scientists and engineers to prepare and clean data for AI model training and testing.
- Perform ad-hoc data analysis to support business decisions and operational improvements.
- Translate business requirements into clear, actionable data analysis tasks.
- Present insights and findings to stakeholders in a clear, easy-to-understand format.
- Develop and automate reports and data workflows to ensure efficient delivery of insights.
- Assist in the optimisation of machine learning models by providing relevant data insights.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
- Proficiency in SQL for data extraction and manipulation.
- Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Knowledge of statistical analysis techniques and tools (e.g., R, Python, Excel).
- Familiarity with AI/ML concepts and an ability to understand how data impacts model performance.
- Strong problem-solving skills and attention to detail.
- Ability to communicate complex data insights to non-technical stakeholders.
- Experience with cloud data platforms (AWS, Google Cloud, or Azure) is a plus.
- Familiarity with Python or R for data analysis and automation is highly preferred.
Perks & Benefits
- Nearby public transport
- Central location
- Free snacks / Happy hours
- Regular team activities
工作地点
Unit No. 31-7 (7th Floor), The Boulevard Mid Valley City, Lingkaran Syed Putra, Wilayah Persekutuan, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur
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