Lead Data Engineer

Logicalis GmbH; Kuala Lumpur; On-site; MYR 40,000 - 60,000; Full time

Job summary

Logicalis GmbH is looking for a data analyst to extract insights from high volume data using various analysis and visualization techniques. The role involves working with data platforms and developing scripts for visualization.

Ideal candidates should possess experience in data analysis techniques, object-oriented programming, and should be able to train new team members. This position is crucial for solving complex business problems through data.

Qualifications

• Working knowledge and experience in data analysis and visualization.
• Ability to develop scripts and visualizations using programming.
• Experience in training new team members.

Responsibilities

• Extract insights from high volume, high dimensional data.
• Use existing data platforms and tools for analysis.
• Apply guidelines to analyze and resolve problems.
• Train and evaluate new team members.

Skills

Data analysis techniques (e.g., A/B testing)

Data visualization software (e.g., PowerBI, Tableau)

Object-oriented programming (Java, Python, R)

Data engineering skills (relational/NoSQL databases)

Tools

Domo

Looker

Qlik

SiSense

Job description

Role Overview

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).

Key Responsibilities

• Extract knowledge and insights from high volume, high dimensional data to investigate complex business problems using a range of modeling, analysis and visualization techniques.
• Typically use existing data platforms and tools (ERP/CRM systems, relational or NoSQL databases, data analysis and visualization software) and may use object‑oriented programming to develop scripts and visualizations.
• Apply prescribed guidelines or policies to analyze and resolve problems.
• Work with a moderate level of guidance and direction, performing primarily straightforward assignments.
• Train new team members and provide input to employee performance evaluations.

Profile

Has working knowledge and experience in own discipline; continues to build knowledge of the organization, processes and customers; performs a range of routine tasks or assignments; follows prescribed guidelines or procedures; and may train new team members.