Bangkok Using data to help solve business problems by identifying various facts, trends, problems and propose solutions to make better strategic business decisions. Preparing descriptive analytics examines what happened in the past to spot trends. Also preparing diagnostic analytics considers why something happened by comparing descriptive data sets to identify dependencies and patterns to determine the cause of a positive or negative outcome.

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.

• Statistical Knowledge
• Mathematical Ability
• Programming languages, such as SQL, Python
• Analytic tools such as Tableau, Power BI

• Domain knowledge
• Problem-Solving skill
• Communicate skill in multiple formats
• Interpersonal skills
• Teamworking skills
• Think out of the box
• Self Learning

• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field
• At least 23 year of experience with Data Analysis
• Age between 26 – 35 years

Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)