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•  Able to use Anaconda, R studio or similar software for data analyst
•  Can use data visualization library such as ggplot2, seaborn or matplotlib for data visualization
•  Analytical Skills: Data analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions
•  Communication Skills: translate the data into an understandable document, easily communicating complex ideas
•  Critical Thinking: able look at the numbers, trends, and data and come to new conclusions based on the findings
•  Able to work under pressure and challenge environment
•  Attention to Detail: be vigilant in the analysis

Additional Highly Desirable Additions: 

•  Bachelor or Engineering Degree in IT, Economic
•  Experience and skills in MySQL, NoSQL, Python, RFramework and related fields
•  Some formal qualifications are generally not hard-line required as ability, mindset, attitude, mentality and values and beliefs are more important than formal qualifications and status
•  Have overcome adversity in life while staying an honorable values based person that denounces corruption in all of its forms and refuses to accept it’s path but to champion for honorable life instead

Personal Character Requirements:

•  Completely honest in every respect and compassionate towards others and their challenges
•  Has a strong belief system rooted in honorable life and completely against all forms of corruption
•  Will stand up against others who are corrupt in any fashion and not follow that
•  Will try their best to defend others who are being abused or wrongly treated and inform the appropriate persons
•  Will not lie in any form for financial gain even if face challenge due to it
•  Respects others and respects women and their rights and will always treat others how you want you and your loved ones to be treated and never take advantage of others
•  Must be a team contributor and think about the best interests of the company

• Working in English language environment
•  Data mining using state-of-the-art methods
•  Processing, cleansing, and verifying the integrity of data used for analysis
•  Visualize Data for easy understanding
•  The new requirements. 
•  Analyze user needs to determine technical requirements.
•  Other tasks and activities required by company.
•  Other

Note: 

•  Working hour: 9am – 6pm
•  Working Day: Monday – Saturday
•  Team outing once a month on saturday
•  Staff lunch 2x a month with training
•  Group Training weekly