Monroe Consulting is currently hiring on behalf of our client, a leading manufacturing company. The client is about to embark on a new artificial intelligence transformation project. This is an excellent chance to work with one of Thailand's leading medical manufacturing companies.
Our client is embarking on an exciting new AI transformation project and is seeking a highly skilled Data Analyst to join a new Data Analytics team. In this newly created position, you will play a pivotal role in extracting valuable insights from data to fuel innovation and drive business growth. You will be responsible for the entire data lifecycle, from data acquisition and cleaning to analysis and visualization.
Job Responsibilities
- Work closely with Project Managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
- Proactively analyse data to answer key questions for stakeholders or yourself, with an eye on what drives business performance. You will also investigate and communicate which areas need improvement in efficiency and productivity.
- Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.
- Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
- Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets.
Job Requirements
- Experience mining data as a data analyst.
- Proven analytics skills, including mining, evaluation, and visualization.
- Technical writing experience in relevant areas, including queries, reports, and presentations.
- Strong SQL or Excel skills, with aptitude for learning other analytics tools.
- Solve practical problems.
- Experience with database and model design, and segmentation techniques.
- Strong programming experience with frameworks, including XML, JavaScript, and ETL
- Practical experience in statistical analysis using statistical packages, including Excel, SPSS, and SAS
- Proven success in a collaborative, team-oriented environment
- Good communication skills in English both written and spoken.
