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Operations Analyst- Bilingual Required Spanish/English

Mexico City, Mexico (Hybrid)

Operations Analyst- Bilingual Required Spanish/English

12 Hours ago • All levels • Operations

About the job

Summary

The Operations Analyst at Nielsen researches, analyzes, and codes large volumes of mobile app data. Responsibilities include classifying data, conducting quality checks, generating reports, adhering to business rules and SLAs, troubleshooting misclassifications, executing tests, and documenting results. The role involves supporting daily processes, identifying process improvements, and participating in on-call rotations. The position requires flexibility, technological proficiency, strong organizational skills, and creative problem-solving abilities, working within a fast-paced environment with monthly deliverables and weekend work required during the monthly production schedule (5th-16th). The analyst will work closely with senior analysts and managers to ensure data integrity and client satisfaction. Bilingual Spanish/English is required.

1 skill required for this role

Test your skills to join the top 1% applicants for this job

organisational-skills

Must have:

Data analysis and coding skills
Quality checks and reporting
Problem-solving and troubleshooting
Adherence to SLAs and procedures
Bilingual Spanish/English
Flexibility and teamwork

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About Nielsen We understand the importance of knowing what consumers see and buy. That is our passion and the center of our business. We study and know consumers in more than 100 countries to provide the most comprehensive insight into trends and habits around the world. With nearly 34,000 employees in more than 100 countries around the world, Nielsen offers a wide variety of full-time career opportunities, and part-time jobs for trainees and interns. At Nielsen we believe in talent and diversity! In Nielsen you can be you, you can grow with us and you can make a difference. At Nielsen we want you to succeed as your most authentic self.

About the Role

The Operations Analyst is responsible for researching, analyzing and coding large volumes of iOS and Android mobile data to their corresponding Apps within our Classification Tool. They provide data required to the Sr Analyst, Delivery Lead and Operations Manager to assist with identifying and resolving any misclassification or classification related issues.

The Operations Analyst works with the Sr Analyst to support the day to day processes ensuring best practices are shared and followed. This position will support the Digital Classification Team. The Digital Classification Team is a fast paced production area with monthly deliverables. The ideal person for this role must be very flexible with their schedule, is technology savvy, a self-starter, has great organizational skills, is an intuitive and creative problem solver and can maintain a positive attitude under tight deadlines.

Your main responsibilities as Operations Analyst at Nielsen will be

Participates in the monthly Production schedule which runs the 5th through the 16th of every month - weekend work required during this time.
Process and support the classification of data, quality checks, defined reports and while adhering to defined business rules and procedures, delivery schedules, and SLAs
Support a “root cause” culture to ensure that a true resolution is achieved for all misclassifications and other classification issues identified
Execute test and document test results
Provide consistent and clear updates on tickets in tracking tools
Identify opportunities for procedure improvement
Support on-call rotations as required by the business
Perform quality checks to ensure the integrity of data for clients and downstream systems
Researches and analyzes data discrepancies
Be knowledgeable on defined procedures, delivery schedules and SLAs to ensure compliance
Ensure the quality of assigned work, utilizing current QA standards and through established data relationships and calculations
Provide input on business requirements for system enhancements
Provide input or suggestions on process improvements

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