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Bilingual Data Analyst

Mexico City, Mexico (Remote)

Bilingual Data Analyst

3 Days ago • Upto 3 Years • Data Analyst

About the job

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Job Description

Nielsen seeks a Bilingual Data Analyst passionate about data, with strong creativity and discipline. This role involves delivering first-class evaluations and measurement options based on data to support client decision-making. Responsibilities include collaborating with the analytics team, collecting and analyzing data for quality and accuracy, integrating data from various systems, identifying data anomalies, and presenting measurement recommendations to clients. Compliance with Nielsen's Analytic Console, data security, and 3rd party vendor requirements is crucial. The ideal candidate will have strong analytical aptitude, problem-solving skills, project management abilities, effective client communication, advanced Excel proficiency, and basic data/regression modeling knowledge.

Must have:

Advanced Excel proficiency
Strong analytical aptitude
Data analysis & problem-solving skills
Client communication & management
Project management skills
Data integration from various systems

Good to have:

Basic data and regression modeling knowledge
Advanced degree in technical or business field

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At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

We are seeking a talented Data Analyst that has a passion for working with data, backed with strong creativity and discipline. As a Data Analyst, you will play a critical role in delivering first-class evaluations and measurement options based on data to support client decision making in a reliable and efficient manner. Investing in proper data analysis at the onset of a project is key for successful delivery overall.

Responsibilities

Collaborates with Analytics team and Modeling associates within Marketing Mix project teams
Collects and analyzes significant amounts of data for quality, accuracy, and fitness of purpose
Integrates, assembles, summarizes, validates, and disseminates data from numerous disparate systems (flat files, spreadsheets, relational databases, etc.) to present measurement recommendations to client
Identifies anomalies within the data and helps determine if it is a collection error or an unnoticed trend
Complies to all Nielsen Analytic Console, Nielsen data security and 3rd party vendor requirements
Adheres to project scope, timelines and contracts

Qualifications

High proficiency in English
Bachelor’s degree in a technical or business field, advanced degree a plus
0-3 years of experience in related field with strong analytical aptitude
Proven problem-solving skills using deductive reasoning, understanding hierarchical relationships and identifying gaps in logic
Demonstrated project management skills and ability to manage multiple priorities and deadlines
Highly effective client management and communication skills
Advanced proficiency in Excel
Basic data and regression modeling application knowledge desired

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

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