Data Support Executive

As a Data Support Executive at Cerve, you'll be responsible for reviewing and enhancing data accuracy, developing frameworks to boost efficiency, collaborating with suppliers on product technical information, onboarding new suppliers, producing compliance reports, addressing client issues, and auditing data to ensure integrity.

To apply for the Data Support Executive role at Cerve, you should have a minimum of 6 months’ experience in a content and data management position, excellent communication skills, familiarity with Product Information Management Systems, as well as working knowledge of Excel or Python for data analysis.

Cerve emphasizes data integrity through routine audits using Excel, strict protocols for data standardization, and collaboration with suppliers to ensure accuracy. As a Data Support Executive, you will play a crucial part in maintaining the quality and consistency of data across our platform.

Essential skills for a Data Support Executive at Cerve include attention to detail, resilience in problem-solving, collaborative spirit for teamwork, and proficiency in data management tools. Familiarity with large language models and strong communication prowess are also beneficial.

Cerve provides ample opportunities for career development for Data Support Executives through growth in a fast-paced environment, potential for upward mobility, and access to additional training and resources to enhance your skills.

When discussing your experience with data management systems, focus on specific tools you've used, such as Product Information Management Systems, and describe how you utilized them to enhance data accuracy and operations. Provide concrete examples of tasks you performed or challenges you overcame.

To answer this question, detail the steps you take to validate data, such as audits and regular reviews, and discuss methods you've implemented or observed to enhance data integrity. Emphasize your attention to detail and commitment to maintaining high standards.

Coordinate your answer by following the STAR method: Situation, Task, Action, Result. Narrate a specific event where you identified a data issue, your strategy for resolving it, and the positive outcome that followed to showcase your problem-solving skills.

Highlight the importance of collaboration in data management, sharing experiences where teamwork led to successful project outcomes. Discuss how you build relationships with suppliers and internal teams to achieve common goals efficiently.

Discuss your prioritization strategy, whether through task lists, time management techniques, or utilizing project management tools. Share an example where your prioritization helped you meet deadlines and effectively manage your workload.

Share specific challenges you've encountered, such as data discrepancies or communication barriers, and articulate the methods you used to overcome these obstacles, emphasizing your ability to maintain positive supplier relationships.

Detail your experience with data analysis tools, providing examples of how you've used Excel or Python to generate actionable insights. If applicable, mention any challenging data analysis projects you've handled and the results attained.

Be prepared to describe a specific framework or documentation you created, outlining the purpose, process, and how it benefited your previous workplace. Highlight the positive impact this had on efficiency, clarity, and consistency.

Here, convey your passion for data management and its impact on business success. Share how making data accessible and transparent aligns with your career goals and why Cerve's mission resonates with you.

Illustrate your approach to managing stress, such as employing time management tools, maintaining open communication with your team, and ensuring you remain focused on your objectives while supporting each other in high-pressure scenarios.