Execute Business Analytic, Data Analytic and Data Visualization activities.
Propose solutions to business,gather business requirements and work cross-functionally with customer’s IT team.
Present and identify business opportunities in Sales state.
Handle project implementation and professional services to support customer.
Ensure the customer satisfaction from implementation and consulting of team.
Other tasks as assigned.
Qualifications:
5 years of experience as a data related such as DWH, BI, Database or Data Analytic.
Experience with business intelligence tools like Tableau, Power BI, Quick View, SAS, SSRS, etc.
Experience with data preparation tools like Alteryx, Talend etc.
Able to Learn Machine Learning, Python, Data Mining, Statistics, Data Science.
Ability to prioritize tasks efficiently and solve problems independently.
Ability to communicate technical concepts to non-technical users
Good English communication (written/verbal), presentation, and facilitation skills
Self-directed, proactive, strong problem solving/troubleshooting skills
Degree in Statistics, Computer Science, Computer Engineering, Information System, Data Analytics Engineering, or any related field.
Data Engineer
Responsibilities :
Understand customer requirements and work closely with teams to achieve customer’s goals in a project-based style.
Understand data engineering principles to design and develop end-to-end data pipelines, including data extraction, data transformation, data ingestion, and other activities.
Design and develop data extraction from many sources, including relational databases, APIs, flat files, and others.
Design and develop database, data warehouse, and data models from the requirements.
Design and develop data pipelines using drag-and-drop tools or implementation from scratch.
Provide consultations to the customer on data solutions.
Learning and practicing new technologies or data solutions to support opportunities from the company or customers.
Create documents on each project phase and provide training to the customer.
Provide on-site IT support and maintenance services to the customer (on a request basis).
Qualifications:
Bachelor’s degree or higher in Computer Engineering, Computer Science, or IT-related fields.
Minimum 2 years’ experience in data engineering (new graduates are welcome for some positions).
Competency in data programming languages such as SQL, python, or pyspark.
Competency in data technologies such as databases, data warehouses, RDBMS, and ETLtools.
Good communication skills both in Thai and English.
Working experience in data visualization (Tableau/Power BI) is a plus.
Working experience in cloud services such as AWS, Azure, and GCP is a plus.
Data Analyst
Responsibilities
Do Business Analytic, Data Analytic and Data Visualization activities.
Gather business requirements and work cross-functionally with customer’s IT team.
Work with team in project implementation, professional services, and support customer.
Ensure customer satisfaction from implementation and consulting of team.
Other tasks as assigned.
Qualifications
Degree in Statistics, Computer Science, Computer Engineering, Information System, Data Analytics Engineering, or any related field.
0-3 years of experience as a data related such as DWH, BI, Database or Data Analytic.
Experience with business intelligence tools is an advantage like Tableau, Power BI, QlikView, SAS, SSRS, etc.
Experience with data preparation tools is an advantage like Alteryx, Talend etc.
Able to Learn Machine Learning, Python, Data Mining, Statistics, Data Science.
Good English communication (written/verbal), and facilitation skills.
Self-directed, proactive, strong problem solving/troubleshooting skills.