- Location
- Kuala Lumpur, MY (iZeno), Malaysia
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Source
- Workday
Description
Why choose iZeno?
iZeno was founded in 2003 to provide enterprises with custom-built technology solutions they need to keep their business running seamlessly. Logicalis Asia, part of the Logicalis Group, a leading international IT solutions and managed services provider, has acquired a majority stake in iZeno, a company specialising in digital transformation, application modernisation, DevOps, customer experience and hybrid cloud solutions.
With a team of 120+ in-house innovators, we have delivered over 500 Enterprise Solutions, implemented, and optimized to enable smarter insights. Our team draws on industry experiences in accomplishing a portfolio of mission-critical applications, integrating Cloud, CRM, Data Analytics, and other leading technologies with our clients' existing IT frameworks.
With leading presence in the region, headquartered in Singapore and operation in Malaysia, Indonesia, Thailand and Philippines, no project is too complex for us, and our team is always ready for a new challenge.
Function Description:
Extracts knowledge and insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Key skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C++) and/or data engineering skills (relational or NoSQL databases, ETL tools).
Career Type Description:
• Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition
• Typically uses existing data platforms and tools (ERP/CRM systems, relational or NoSQL databases, data analysis and visualization software) but may also use object-oriented programming to develop own scripts and visualizations
Profile Description:
• Has working knowledge and experience in own discipline
• Continues to build knowledge of the organization, processes and customers
• Performs a range of mainly straightforward assignments
• Uses prescribed guidelines or policies to analyze and resolve problems
• Receives a moderate level of guidance and direction
•• Typically follows prescribed guidelines or procedures to resolve problems
•• Has working knowledge of basic concepts and procedures; performs a variety of routine tasks or assignments
•• May train new team members and provide input to employee performance evaluations
•• Works with a moderate level of guidance
Career: Data Management
Career Type: Professional
Job Type: Senior Analyst
Level: P10