Data Operations Analyst

Jobgether; México; Presencial; MXN 180.000 - 320.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning access

Employee Assistance Program (EAP)

Opportunities for practical experience

Descripción de la vacante

Jobgether is seeking a Data Operations Analyst in Mexico to support generation, analysis, and management of product information. You will work with operational data to produce reports, categorize products, and identify issues affecting production quality.

The ideal candidate has a technical degree or is near completion, with proficiency in Excel and basic programming. You will join a collaborative, high-performance team and have opportunities to grow technical and analytical skills.

Formación

• Completed technical 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 for organizing, analyzing, and reporting information.
• 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 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.

Responsabilidades

• 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.

Conocimientos

Data analysis

Attention to detail

Problem solving

Self-directed

Curiosity

Intermediate English

Educación

Bachelor's degree in business administration, economics, engineering, computer science, information technology, or related field

Herramientas

Excel

Descripción del empleo

Data Operations Analyst

Empresa : Jobgether Tipo de empleo : Tiempo completo Mexico

JobCopilot will tailor your resume and auto-fill the application

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Operations Analyst based in Mexico.

This is an opportunity for a detail-oriented professional to support the accurate generation, analysis, and management of product information.

You will work with operational data to produce reports, categorize products, and identify issues that may affect production quality.

The role is well suited to someone who enjoys structured work, problem-solving, and working with data in a fast-paced environment.

You will follow established operational processes while contributing ideas that can improve efficiency and the way information is managed.

The position offers exposure to data operations, reporting, product information, and technology within a collaborative, high-performance team.

You’ll have opportunities to develop your technical and analytical skills while working with tools such as Excel and potentially basic programming.

Success in this role requires proactivity, curiosity, attention to detail, and the ability to perform effectively within defined deadlines and processes.

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.