1. Data Quality Control & Logical Validation (35%) 

- Review and verify the logical consistency of extracted data based on project coding criteria and classification standards.

- Identify and report data anomalies or errors to the Data team, ensuring all outputs meet quality benchmarks.

- Work closely with the internal Data team to address data integrity issues promptly.

2. Data Processing (30%) 

- Perform quality checks (QC) on classified social media data to ensure accuracy and relevance.

- Export and structure data from social media listening platforms.

- Visualize data through charts, dashboards, and slide decks in alignment with project templates and client requirements.

- Ensure consistency and clarity in  outputs formatting and visuals.

3. Data File Management (20%) 

- Maintain and organize data files systematically to ensure ease of access, traceability, and version control.

- Implement best practices for data storage and documentation.

- Coordinate with relevant teams to track data versions and ensure consistency across project stages.

4. Cross-team Collaboration (15%) 

- Collaborate closely with Research (RS) and Data teams to thoroughly understand project objectives, client requirements, and deliverable expectations.

- Provide clear communication regarding data structures, limitations, and insights to support Research reporting.

- Be proactive in clarifying project scopes and data requests to ensure alignment between teams.
 

1. Education/ Knowledge

- Bachelor’s degree in Marketing, Communications, Data Analytics, Business Administration, or a related field.

- Experience in Data Operations / Data Processing is a plus. Fresh graduates with strong logical thinking and attention to detail are welcome.

2. Skill

- Proficient in Excel/Google Sheets, especially in data functions (VLOOKUP, PivotTable, Conditional Formatting, etc.).

- Strong logical thinking and problem-solving mindset, with the ability to detect inconsistencies and data irregularities.

- Good communication and teamwork skills to collaborate effectively with Research and Data teams.

3. Experience

- Experience  in Data Operations, Data Processing, Data Entry, or Data Quality Control is a strong advantage.

- Fresh graduates with a keen interest in working with data and a strong learning attitude are welcome.

- Experience working with large datasets (Excel/Google Sheets) and handling repetitive data tasks while maintaining accuracy.

4. Personality

- Logical thinker with a structured and methodical approach to problem-solving.

- Detail-oriented with a strong data accuracy mindset.

- A team player who communicates effectively and collaborates seamlessly with cross-functional teams

 
** BENEFITS 

- Competitive salary, 13th month salary.

- Premium healthcare insurance (for Upper Senior level).

- 12 days of annual leave & 5 days of sick leave.

- Performance appraisals every year.

- Standard health check.

- Company trip, Year end party, Team building.

- Occasion-based offerings: Birthday, wedding, maternity, …

- Parking support.

- Equipment for work (Laptop).

- Access comprehensive training to stay ahead in social media trends and tools, enhancing your skills for continued growth.

- Thrive in a fast-paced,dynamic environment where you’ll collaborate with teams across the company to solve challenges and drive innovation.