21/06/2021
Primary Requirements
• Able to create Dashboard such as Tableau, Power BI, R Shiny or other.
• Must be conversant in R and/or Python in terms of handling Data.
• Must be efficiently knowledgeable the basic logic of Data.
• Experienced in writing scripts for ETL (Extract, Transform, Load) using either R or Python.
• Experienced in data extraction, data mining and data processing using R or Python packages.
• A minimum of 1 year experience of working in a work related to Data.
• Good interpersonal skills and can work in a team to meet objectives and deadlines.
Secondary Requirements:
• Able to produce reproducible work, documentation and reports.
• Must be experienced in a versioning control software such as Github or Gitlab.
• Strong analytical thinking and problem-solving abilities.
Bonus Requirements:
• Basic knowledge in LateX or markdown
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases.
• Knowledgeable with Spatial related data
• Knowledgeable with machine learning models
• Hands-on experience in using APIs or performing data crawling
• Has a legitimate certificate that shows the ability to write code using R/ Python to do data parsing and data analysis.
Job Scope:
• Write scripts to extract, transform and load data (ETL).
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and data quality, re-designing infrastructure for greater scalability, etc.
• Perform data extraction, data mining, data processing and basic analysis of structured and unstructured data.
• Create Data Visualization Dashboard using either Tableau, R Shiny, or PowerBI.
• Work with stakeholders including the Client and other in-house departments to assist with data-related technical issues and support their data infrastructure needs.
• Communicate with internal team member and client’s technical team to assist them in translating analytical output whenever necessary.
• Solve problems using data-driven decision making.