Data Management Executive (Based in Indonesia)

Job Overview
Supermom is seeking a detail-oriented and analytical Data Management Executive to maintain and manage high-quality, accurate data for our campaigns and client deliveries. In this full-time role, you will leverage your expertise in Excel to clean, organize, and verify large datasets, ensuring that all data meets client requirements and drives insightful decision-making.

Key Responsibilities

1. Data Cleaning & Validation
• Clean up and organize raw data in Excel to meet internal quality standards and client specifications.
• Review and validate the accuracy of data, identifying and resolving any discrepancies or inconsistencies.
2. Data Formatting & Delivery
• Format data according to clients’ templates and specifications for seamless integration into their systems.
• Manage the end-to-end process of preparing and sending finalized data to clients within stipulated timelines.
3. Quality Assurance
• Conduct routine checks to ensure completeness, correctness, and overall data quality.
• Work closely with cross-functional teams to address issues and optimize data processes.
4. Stakeholder Coordination
• Coordinate with campaign participants or other relevant parties to verify missing or unclear information.
• Collaborate with internal teams (e.g., marketing, operations) to ensure smooth data flow and updates.
5. Data Reporting & Insights
• Generate regular reports highlighting key metrics, discrepancies, or trends in the datasets.
• Offer suggestions for process improvements based on data insights and analysis.

Requirements

Education & Experience

• Bachelor’s degree in a relevant field (e.g., Natural Sciences, Engineering, Statistics, Accounting, Mathematics, or a related discipline).
• 1–2 years of experience in data management, data analysis, or a related field preferred (fresh graduates with strong skills will be considered).

Technical Skills

• Proficient in Microsoft Excel, including advanced formulas, pivot tables, data cleaning, and data visualization.
• Comfortable working with large datasets and performing numerical analysis.
• Experience with data management tools or basic programming (e.g., SQL, Python, R) is a plus.

Soft Skills

• Strong attention to detail with excellent organizational skills.
• Effective problem-solving and analytical thinking abilities.
• Excellent written and verbal communication skills in English.
• Strong interpersonal skills, with the ability to collaborate in a team-oriented environment.
• Self-motivated and able to work independently with minimal supervision.

Work Requirements

• Availability: Full-time position.
• Work Arrangement: Hybrid model (combination of remote and in-office work).
• Language: Must be fluent in English (both written and spoken).