Data Analyst

HABIB; Kuala Lumpur; On-site; MYR 30,000 - 60,000; Full time

Job summary

An established industry player is seeking a data analyst to leverage company data for innovative business solutions. This role involves mining and analyzing data to drive product development and marketing strategies, utilizing statistical programming languages and machine learning techniques. The ideal candidate will collaborate with various teams to implement models and monitor their performance, ensuring data accuracy and effectiveness. Join a dynamic team where your analytical skills will contribute to enhancing customer experiences and driving revenue growth.

Benefits

Annual Leave

EPF/SOSCO

Qualifications

• 1-3 Jahre Erfahrung in der Datenanalyse mit statistischen Programmiersprachen.
• Kenntnisse in verschiedenen Machine Learning-Techniken.

Responsibilities

• Daten aus Unternehmensdatenbanken analysieren, um Produktentwicklung zu optimieren.
• Entwicklung von benutzerdefinierten Datenmodellen und Algorithmen.

Skills

Statistical Programming (R, Python, SQL)

Problem-Solving

Data Analysis

Machine Learning Techniques

Tools

PowerBI

Job description

Job Responsibility

• Work closely with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to enhance customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop a company A/B testing framework and evaluate model quality.
• Coordinate with different functional teams to implement models and monitor their outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Job Requirements

• Strong problem-solving skills with an emphasis on product development.
• 1 to 3 years of experience using statistical programming languages and analytics tools (R, Python, SQL, PowerBI, etc.) to manipulate data and extract insights from large data sets.
• Self-motivated and driven to achieve organizational goals.
• Knowledge of various machine learning techniques (clustering, decision trees, neural networks, etc.) and their real-world advantages and disadvantages.

Job Benefits

• Annual leave
• EPF/SOSCO