Data Analyst

The role:

Identify and collect data sources, analyzes and extracts key data and information, evaluates and monitors data quality to meet the organization's information system needs and requirements. 

This role will bridge the gap between data science, data engineer for experimentation and scalable, maintainable and real-world applications. 

Main role and responsibilities:

• Identify and collect  data sources using specific tools or techniques; inputs them into the organization's information system.
• Provide data flow diagrams and documents the processes used in a company databases.
• Assist and participates in data validation to ensure the quality and integrity of data.
• Analyze and extract key data and information to meet the organization's information system needs and requirements.
• Work with Business Analyst for producing data specification and interface specification to solve data problem e.g. data flow diagrams.
• Work closely with Data Engineers and Data Scientists to operationalize models and automate pipelines.

Qualification:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Able to communicate both writing and speaking in English and Thai
• Minimum of 2 years of experience in data engineering, with a focus on financial services or consulting.
• Proven track record of designing and implementing complex data solutions, including data lakes, data warehouses, and real-time streaming platforms.
• Good to have hands-on experience with cloud-based technologies, such as AWS, Azure, or GCP, and proficiency in SQL, Python, Scala, or Java.
• Strong understanding of AI and machine learning concepts, with experience in deploying models in production environments.
• Excellent communication skills and ability to effectively collaborate with cross-functional teams.
• Demonstrated leadership capabilities, including the ability to lead technical projects, mentor junior team members, and drive innovation.

Common Technical Stack:

• Languages: Python, Java, Go, or C++
• Frameworks: TensorFlow, PyTorch, Hugging Face
• Tools: MLflow, Airflow, Kubeflow, Docker, Kubernetes, FastAPI
• Cloud: AWS Sagemaker, Azure ML, VertexAI
• Others: Git, APIs, REST, CI/CD pipelines

Please note that once we received the CV, we will start the screening and selection process. If your application proceeds to the next step, you will receive an update from us within one week. We look forward to receiving your application!