Master Data Analyst I: Pricing & Data Quality

Kimberly Clark; Petaling Jaya; Hybrid; MYR 60,000 - 80,000; Full time

Job summary

A leading global healthcare company seeks a Master Data Analyst I for a 6-month contract in Petaling Jaya, Malaysia. You will manage pricing data effectively and support business operations through analysis and collaboration with cross-functional teams. Ideal candidates possess a Bachelor's degree, one year of experience, and proficiency in SAP and Excel, along with strong communication skills. This role offers a chance to drive data quality and implement new data technologies while enjoying flexible working arrangements.

Benefits

Medical, dental, and vision coverage

Fitness center access

Flexible savings and spending accounts

Income protection insurance

Support for education and childcare

Qualifications

• 1 year of relevant experience.
• Fluent in English.
• Other regional languages required: Mandarin Chinese.

Responsibilities

• Monitor and update pricing information to reflect market changes.
• Set up price conditions in SAP according to company policies.
• Support controls and checks for compliance with standards.
• Coordinate with teams for timely pricing changes.
• Maintain proper SOPs.
• Perform audits for pricing maintenance.

Skills

Communication skills

Interpersonal skills

Problem-solving skills

Analytical thinking

Customer focus

Attention to detail

Advanced Microsoft Excel

SAP proficiency

Education

Bachelor’s degree in business administration, Accounting, Finance or related field

Tools

SAP

Microsoft Excel

Job description

A leading global healthcare company seeks a Master Data Analyst I for a 6-month contract in Petaling Jaya, Malaysia. You will manage pricing data effectively and support business operations through analysis and collaboration with cross-functional teams. Ideal candidates possess a Bachelor's degree, one year of experience, and proficiency in SAP and Excel, along with strong communication skills. This role offers a chance to drive data quality and implement new data technologies while enjoying flexible working arrangements.