Bilingual Data Analyst

1 Month ago • Upto 3 Years • Data Analyst

Job Summary

Job Description

Nielsen seeks a Bilingual Data Analyst to deliver 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. The role requires strong analytical skills, project management abilities, excellent client communication, proficiency in Excel, and basic knowledge of data and regression modeling. The analyst will ensure compliance with Nielsen's Analytic Console, data security, and third-party vendor requirements, adhering to project scopes, timelines, and contracts.
Must have:
  • Proficient in English
  • Strong analytical aptitude
  • Data analysis & integration skills
  • Problem-solving & deductive reasoning
  • Client communication & management
  • Proficient in Excel
Good to have:
  • Advanced degree
  • Data & regression modeling knowledge

Job Details

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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