Data Operations Analyst

Accountabilities • Execute and maintain established operational instructions for generating service and product information under regular supervision.

• Analyze product and operational information and prepare accurate reports to support business processes.

• Categorize products according to established guidelines and data requirements.

• Identify, document, and report production errors or inconsistencies promptly.

• Follow the operational management model, procedures, quality standards, and established workflows.

• Review information carefully to identify discrepancies and help maintain data accuracy and consistency.

• Support continuous improvement by identifying opportunities to make processes more efficient or effective.

• Collaborate with team members and supervisors to resolve operational issues and meet deadlines.

• Provide support for special projects or initiatives as required.

• Maintain a proactive approach to learning new technologies, processes, and tools relevant to the role.

Requirements:

• Completed technical degree, completed bachelor's degree, or currently pursuing the final semesters of a degree in business administration, economics, engineering, computer science, information technology, or a related field.

• At least 6 months of experience working with data or information analysis.

• Intermediate to advanced Excel skills, including the ability to organize, analyze, and report on information effectively.

• Intermediate English proficiency is desirable.

• Basic programming knowledge is desirable and will be considered an advantage.

• Strong attention to detail and the ability to work accurately within structured processes.

• Highly motivated, self-directed, proactive, and comfortable working under tight deadlines.

• Curious and resourceful, with an enthusiasm for technology and learning new tools.

• Strong problem-solving skills and the ability to identify opportunities for process improvement.

• Collaborative mindset and willingness to contribute to a high-performing team.

• Ability to work effectively with a high level of supervision and follow established operational guidelines.

Benefits:

• Flexible working environment.

• Volunteer time off.

• Access to LinkedIn Learning for professional and skills development.

• Employee Assistance Program (EAP).

• Opportunity to develop practical experience in data analysis, product information, and operations.

• Exposure to new technologies and opportunities for continuous learning.

• Collaborative environment focused on performance, innovation, and professional growth.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1