Remote Data Quality & Sanitation Specialist

Pt Enlig Sejahtera Mandiri; Bungku; Remote; IDR 55,104,000 - 110,208,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Contract-based

Job summary

Pt Enlig Sejahtera Mandiri is seeking a precise Remote Data Entry & Sanitation Specialist to ensure accuracy, integrity, and cleanliness of digital datasets in a remote setting. This role blends data validation, cleansing, and the strategic use of data sanitization techniques, requiring strong organization and independence.

The ideal candidate excels at attention to detail and thrives in an autonomous work environment, contributing to high-quality data management from anywhere.

Qualifications

• Proven experience in data entry or data sanitation.
• Excellent attention to detail and accuracy.
• Proficiency with spreadsheet software (Excel/Sheets) and database concepts.
• Strong analytical and problem-solving skills.
• Ability to work independently in a remote setting.

Responsibilities

• Perform comprehensive data entry tasks from various sources into internal systems with high accuracy.
• Conduct data sanitation processes, identifying and rectifying errors and inconsistencies.
• Implement data validation rules to ensure integrity and standards compliance.
• Analyze datasets to identify error patterns and suggest process improvements.
• Categorize, tag, and organize digital information per guidelines.
• Maintain detailed records of data processing activities and outcomes.
• Collaborate remotely with team members to clarify data requirements.
• Ensure compliance with privacy and security policies.

Skills

Data entry

Data cleaning

Attention to detail

Analytical thinking

Time management

Tools

Excel

Google Sheets

Database concepts

Job description

Pt Enlig Sejahtera Mandiri is seeking a precise Remote Data Entry & Sanitation Specialist to ensure accuracy, integrity, and cleanliness of digital datasets in a remote setting. This role blends data validation, cleansing, and the strategic use of data sanitization techniques, requiring strong organization and independence.

The ideal candidate excels at attention to detail and thrives in an autonomous work environment, contributing to high-quality data management from anywhere.