Data Analyst (Big Data)

Spearing Executive Search; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading recruitment firm is seeking a detail-oriented Big Data Analyst in Singapore. In this role, you will collect and transform data into reliable information, ensuring it meets quality standards for the business. Key responsibilities include understanding various data transformation tools and implementing processes to derive meaningful insights. Ideal candidates will display strong technical and logical thinking, along with the ability to prioritize critical information.

Qualifications

• Keen eye for detail to capture valuable data.
• Understanding of data transformation tools and techniques.
• Ability to implement technical processes for data usage.

Responsibilities

• Collect and transform data into useful information.
• Ensure data meets quality standards for business usage.
• Understand tools and algorithms for scalable data.

Skills

Detail-oriented

Data transformation tools

Technical thinking

Logical thought process

Prioritization

Job description

Our client is looking for someone who has a keen eye for detail, technical and logical thought process and has the ability to prioritize.

As the Big Data Analyst, you will be responsible for collecting and transforming data into useful information that meets a certain quality standard in order for the business to consider it trustable and usable. The job also requires the analyst to understand data transformation tools, techniques and algorithms in order to transfer the data into scalable data.

About the role

As a Big Data analyst you need to have a keen eye for detail in order to capture the most amount of data and not let any valuable information go to waste. This means that you will need to be able to prioritize more important information in order to get the most value out of the information found.

• Understand different data transformation tools, techniques and algorithms.
• Implement technical processes and business logic to transform collected data into meaningful and valuable information. This data should meet the necessary quality, governance and compliance considerations for operational and business usage to be considered trustable.