Data Analyst

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD is seeking a Data Analyst/DBA to support data classification, labeling, and annotation workflows across business lines. You will collaborate with the data team to ensure accuracy and recall, and help improve ML-related labeling strategies.

The role requires a Bachelor’s degree in CS/IT and at least 1 year of relevant experience, with strong communication and analytical skills to quickly understand business attributes and sample types.

Qualifications

• Bachelor's Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA, familiar with all kinds of data samples in storage.
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes.

Responsibilities

• Support data classification and taxonomy methods and standards, understand business, cooperate with data team.
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
• Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions.
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.
• Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards.
• Participate in the functional optimization design of the annotation platform.

Skills

Data analysis

Communication

Business understanding

Education

Bachelor's Degree in Computer Science or IT related discipline

Job description

Job Responsibilities

• Support data classification and taxonomy methods and standards, understand business, cooperate with data team.
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
• Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions.
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.
• Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards.
• Participate in the functional optimization design of the annotation platform.

Qualifications

• Bachelor's Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA, familiar with all kinds of data samples in storage.
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes.
• Willing to perform repetitive tasks effectively with a minimum of errors.
• Knowledge and keen interest in artificial intelligence and machine learning.